Patent application number | Description | Published |
20080249793 | METHOD AND APPARATUS FOR GENERATING A CUSTOMER RISK ASSESSMENT USING DYNAMIC CUSTOMER DATA - A computer implemented method, apparatus, and computer usable program product for generating a customer risk assessment score. In one embodiment, the process parses dynamic data associated with a customer to identify patterns of events. The dynamic data comprises metadata describing an appearance and behavior of the customer. The patterns of events are analyzed to identify risk assessment factors for the customer. A risk assessment analysis is dynamically performed using the risk assessment factors for the customer to generate a risk assessment score for the customer while the customer is shopping in a retail facility. The risk assessment score indicates a potential risk posed by the customer to the retail facility. | 10-09-2008 |
20080249835 | IDENTIFYING SIGNIFICANT GROUPINGS OF CUSTOMERS FOR USE IN CUSTOMIZING DIGITAL MEDIA MARKETING CONTENT PROVIDED DIRECTLY TO A CUSTOMER - A computer implemented method, apparatus, and computer usable program code for customizing digital media marketing messages. In one embodiment, data associated with a set of customers is received from detectors associated with a retail facility to form detection data. The detection data is processed to form grouping data for the set of customers. The grouping data is analyzed in a set of data models to identify personalized marketing message criteria for a customer in the set of customers. A customized marketing message is generated for the customer in the set of customers using the personalized marketing message criteria. | 10-09-2008 |
20080249836 | GENERATING CUSTOMIZED MARKETING MESSAGES AT A CUSTOMER LEVEL USING CURRENT EVENTS DATA - A computer implemented method, apparatus, and computer usable program code for generating customized marketing messages using current events data. In one embodiment, external marketing data is received from a set of sources to form the current events data. The current events data is processed to form dynamic data. A customized marketing message is generated for the customer using the dynamic data. | 10-09-2008 |
20080249837 | AUTOMATICALLY GENERATING AN OPTIMAL MARKETING STRATEGY FOR IMPROVING CROSS SALES AND UPSALES OF ITEMS - A computer implemented method, apparatus, and computer usable program product for generating an optimized marketing strategy for improving sales. The process parses event data to identify patterns of events associated with a selection of a selected item by each customer in a plurality of customers and selection of at least one item in a set of items related to the selected item. The process identifies events in the patterns of events that result in a purchase of at least one item in the set of related items by the customers to form optimized events. The process then generates a marketing strategy using the optimized events. The marketing strategy comprises a set of strategies for increasing purchases of items in the set of related items by the customers. | 10-09-2008 |
20080249838 | METHOD AND APPARATUS FOR PREFERRED CUSTOMER MARKETING DELIVERY BASED ON BIOMETRIC DATA FOR A CUSTOMER - A computer implemented method, apparatus, and computer usable program product for automatically determining a marketing status for a customer. Biometric readings for the customer are received from a set of biometric devices associated with a retail facility to form biometric data describing a set of physiological responses of the customer. The biometric data is analyzed to identify a set of marketing initiation factors that indicate a degree of receptivity of the customer to marketing messages. In response to the set of marketing initiation factors indicating initiation of marketing to the customer, a customized marketing message is generated for the customer. The customized marketing message is transmitted to a display device for display to the customer in real-time as the customer is shopping. | 10-09-2008 |
20080249851 | METHOD AND APPARATUS FOR PROVIDING CUSTOMIZED DIGITAL MEDIA MARKETING CONTENT DIRECTLY TO A CUSTOMER - A computer implemented method, apparatus, and computer usable program code for customizing digital media marketing messages. In one embodiment, external data is received from a set of detectors located externally to a retail facility to form external data. The external data is processed to form dynamic data. The set of dynamic data is analyzed using a data model to identify personalized marketing message criteria for the customer. A customized marketing message for the customer is generated using the personalized marketing message criteria. The customized marketing message is delivered to a display device associated with the customer for display. | 10-09-2008 |
20080249856 | METHOD AND APPARATUS FOR GENERATING CUSTOMIZED MARKETING MESSAGES AT THE CUSTOMER LEVEL BASED ON BIOMETRIC DATA - A computer implemented method, apparatus, and computer usable program code for customizing digital media marketing messages using biometric data. In one embodiment, data is received from a set of biometric devices associated with a retail facility to form the biometric data. The biometric data is associated with a given customer. The biometric data is processed to form dynamic data. The dynamic data is analyzed using a data model to identify personalized marketing message criteria for the customer. A customized marketing message is generated using the personalized marketing message criteria. | 10-09-2008 |
20080249857 | GENERATING CUSTOMIZED MARKETING MESSAGES USING AUTOMATICALLY GENERATED CUSTOMER IDENTIFICATION DATA - A computer implemented method, apparatus, and computer usable program code for generating customized marketing messages using automatically generated customer identification data. In one embodiment, real-time data for a customer is received from a set of cameras associated with a retail facility to form detection data. The customer is automatically identified using the detection data to form customer identification data. Automatically identifying the customer occurs without human input. A customized marketing message is generated for the customer using the customer identification data. | 10-09-2008 |
20080249858 | AUTOMATICALLY GENERATING AN OPTIMAL MARKETING MODEL FOR MARKETING PRODUCTS TO CUSTOMERS - A computer implemented method, apparatus, and computer usable program code generating an optimized marketing model for marketing products to customers in a retail facility. In one embodiment, event data is parsed to identify patterns of events, wherein the event data comprises metadata describing events associated with the retail facility; events in the patterns of events that achieve a target outcome are identified to form optimized events. A marketing strategy is generated using the optimized events to form the optimized marketing model. | 10-09-2008 |
20080249859 | GENERATING CUSTOMIZED MARKETING MESSAGES FOR A CUSTOMER USING DYNAMIC CUSTOMER BEHAVIOR DATA - A computer implemented method, apparatus, and computer usable program code for customizing digital media marketing messages using customer behavior data. In one embodiment, patterns of events in customer event data are identified to form customer behavior data. The customer event data comprises metadata describing a customer associated with a retail facility. The customer behavior data is processed to form dynamic data. A customized marketing message is generated for the customer using the dynamic data. | 10-09-2008 |
20080249864 | GENERATING CUSTOMIZED MARKETING CONTENT TO IMPROVE CROSS SALE OF RELATED ITEMS - A computer implemented method, apparatus, and computer usable program code for generating customized marketing messages for marketing correlated items. In one embodiment, an item selected by a customer is identified to form a selected item. Items in a list of correlated items associated with the selected item are identified to form a set of correlated items. A correlated item in the set of correlated items provides a different basic functionality than the selected item. A set of dynamic data associated with the customer is analyzed using a set of data models to identify personalized marketing message criteria for the customer. The dynamic data associated with the customer is generated in real-time as the customer is shopping. A customized marketing message is generated using the personalized marketing message criteria. The customized marketing message comprises a marketing message for at least one item in the set of correlated items. | 10-09-2008 |
20080249865 | RECIPE AND PROJECT BASED MARKETING AND GUIDED SELLING IN A RETAIL STORE ENVIRONMENT - A computer implemented method, apparatus, and computer program product for generating project based marketing messages to a customer in a retail facility. In one embodiment, at least one item selected by the customer for purchase is identified. A task that requires the at least one item for completion of the task is identified. A set of additional items recommended for completion of the task is retrieved. The customer has not selected the items in the set of additional items for purchase. A customized marketing message for at least one item in the set of additional items recommended for completion of the task is generated. The customized marketing message is generated in real-time as the customer is shopping. | 10-09-2008 |
20080249866 | GENERATING CUSTOMIZED MARKETING CONTENT FOR UPSALE OF ITEMS - A computer implemented method, apparatus, and computer usable program code for generating customized marketing messages to improve upsales of items. In one embodiment, an item selected by a customer is identified. At least one upsale item associated with the selected item is identified. An upsale item is an item that provides a same basic functionality as the selected item. A set of dynamic data associated with the customer is analyzed using data models to identify personalized marketing message criteria for the customer. The dynamic data associated with the customer is generated in real-time as the customer is shopping. A customized marketing message is generated using the personalized marketing message criteria. The customized marketing message includes a marketing message that prompts the customer to purchase the at least one upsale item instead of the selected item. | 10-09-2008 |
20080249867 | METHOD AND APPARATUS FOR USING BIOMETRIC DATA FOR A CUSTOMER TO IMPROVE UPSALE AND CROSS-SALE OF ITEMS - A computer implemented method, apparatus, and computer usable program code for generating customized marketing messages to increase purchases by a customer. In one embodiment, an item selected by the customer is identified to form a selected item. Biometric readings for the customer are received from a set of biometric devices associated with a retail facility to form the biometric data. The biometric data is data regarding a set of physiological responses of the customer. A set of items is selected from a list of items associated with the selected item using the biometric data for the customer to form a set of promoted items. A customized marketing message for the customer is generated using a set of personalized marketing message criteria for the customer. The customized marketing message comprises a marketing message for the set of promoted items. | 10-09-2008 |
20080249868 | METHOD AND APPARATUS FOR PREFERRED CUSTOMER MARKETING DELIVERY BASED ON DYNAMIC DATA FOR A CUSTOMER - A computer implemented method, apparatus, and computer usable program product for automatically determining a marketing status for a customer. In one embodiment, detection data is received from a set of detectors associated with the retail facility. The detection data is processed to form dynamic data. The dynamic data is analyzed using a set of data models to identify marketing initiation factors. In response to the marketing initiation factors indicating initiation of marketing to the customer, a customized marketing message is generated for the customer and dynamically transmitted to a display device associated with the customer. The customized marketing message is displayed to the customer in real-time as the customer is shopping at the retail facility. | 10-09-2008 |
20080249869 | METHOD AND APPARATUS FOR PRESENTING DISINCENTIVE MARKETING CONTENT TO A CUSTOMER BASED ON A CUSTOMER RISK ASSESSMENT - A computer implemented method, apparatus, and computer usable program product for managing a level of marketing disincentives directed towards a customer using a risk assessment score. In one embodiment, a risk assessment score for a customer associated with a retail facility is retrieved. The risk assessment score is analyzed to determine whether the customer is a desirable customer or an undesirable customer. In response to the risk assessment score indicating that the customer is an undesirable customer, aggressive marketing disincentives targeted to the undesirable customer are generated. If the risk assessment score indicates the customer is a desirable customer, marketing incentives targeted to the desirable customer are generated. | 10-09-2008 |
20080249870 | METHOD AND APPARATUS FOR DECISION TREE BASED MARKETING AND SELLING FOR A RETAIL STORE - A computer implemented method, apparatus, and computer usable program product for decision tree based marketing to a customer in a retail facility. In response to identifying a customer associated with the retail facility, a marketing decision tree for the customer is retrieved. The marketing decision tree indicates a set of paths through the retail facility that the customer will most likely follow while shopping. A next probable location of the customer is identified using a current location of the customer and the marketing decision tree. A customized marketing message for an item located in the next probable location is presented to the customer. | 10-09-2008 |
20080294459 | Health Care Derivatives as a Result of Real Time Patient Analytics - A computer implemented method that includes receiving a cohort. The cohort comprises first data regarding a set of patients and second data comprising a relationship of the first data to at least one additional datum existing in at least one database. A numerical risk assessment is associated with the cohort. The computer implemented method further includes establishing a monetary value for the cohort, wherein the monetary value is based at least on the numerical risk assessment. | 11-27-2008 |
20080294692 | Synthetic Events For Real Time Patient Analysis - Generating synthetic events based on a vast amount of data. First and second data are received. The first data is organized into a first cohort. The second data is organized into a second cohort. The first cohort and the second cohort are processed to generate a synthetic event. The synthetic event comprises third data representing a result of a mathematical computation defined by S(p | 11-27-2008 |
20090005650 | METHOD AND APPARATUS FOR IMPLEMENTING DIGITAL VIDEO MODELING TO GENERATE A PATIENT RISK ASSESSMENT MODEL - A computer implemented method, apparatus, and computer program product for generating a risk assessment model for an assessment of a patient in a healthcare facility. The process retrieves event data for the patient, wherein the event data is derived from video data, and wherein the event data further comprises metadata describing events affecting the patient in a medical care facility, and parses the event data to form assessment data. The process then generates the risk assessment model using the assessment data. | 01-01-2009 |
20090006125 | METHOD AND APPARATUS FOR IMPLEMENTING DIGITAL VIDEO MODELING TO GENERATE AN OPTIMAL HEALTHCARE DELIVERY MODEL - A computer implemented method, apparatus, and computer program product for generating an optimal healthcare delivery model. The process parses event data derived from video data to identify patterns of events, wherein the event data comprises metadata describing events associated with a medical care facility. The process then identifies a subset of patterns of events from the patterns of events that achieves a target outcome to form a set of optimized patterns of events. The process generates an optimized healthcare delivery strategy using the set of optimized patterns of events to form the optimized healthcare delivery model for the medical care facility. | 01-01-2009 |
20090006286 | METHOD AND APPARATUS FOR IMPLEMENTING DIGITAL VIDEO MODELING TO IDENTIFY UNEXPECTED BEHAVIOR - A computer implemented method, apparatus, and computer usable program product for identifying unexpected behavioral patterns. The process parses event data derived from video data to identify behavioral patterns, wherein the event data comprises metadata describing events occurring in a selected environment. The process analyzes the behavioral patterns to identify a set of expected behavioral patterns occurring in the selected environment, and generates an expected behavioral model using the expected behavioral patterns. Thereafter, the process forms a set of unexpected behavioral patterns from the behavioral patterns inconsistent with the expected behavioral model. | 01-01-2009 |
20090006295 | METHOD AND APPARATUS FOR IMPLEMENTING DIGITAL VIDEO MODELING TO GENERATE AN EXPECTED BEHAVIOR MODEL - A computer implemented method, apparatus, and computer usable program product for generating an expected behavior model. The process parses event data derived from video data to identify behavioral patterns, wherein the event data comprises metadata describing events occurring in a selected environment. The process analyzes the behavioral patterns to identify a set of expected behavioral patterns occurring in the environment, and generates the expected behavioral model using the expected behavioral patterns. | 01-01-2009 |
20090024553 | AUTOMATIC GENERATION OF NEW RULES FOR PROCESSING SYNTHETIC EVENTS USING COMPUTER-BASED LEARNING PROCESSES - A computer implemented method. A first synthetic event is received. The first synthetic event is derived from a first cohort comprising a first set of data and a second cohort comprising a second set of data. The first synthetic event comprises a third set of data representing a result of a mathematical computation on the first and second cohorts. A first rule set is created, the first synthetic event being expected as a result of application of the first rule set to the first cohort and the second cohort. The first rule set is applied to the first cohort and the second cohort to achieve a first result. The first result comprises a second event that is compared to the first synthetic event. A comparison is formed, the comparison comprising additional data that can be used to describe a difference between the second event and the first synthetic event. | 01-22-2009 |
20090070163 | METHOD AND APPARATUS FOR AUTOMATICALLY GENERATING LABOR STANDARDS FROM VIDEO DATA - A computer implemented method, apparatus, and computer usable program product for creating a labor standard for a task. The process automatically detects event data derived from a continuous video stream, wherein the event data comprises metadata describing a sequence of motions for performing the task, and parses the event data to identify appropriate event data describing a discrete set of motions from the sequence of motions. The process then analyzes, using an analysis server, the discrete set of motions to form a labor standard, wherein the labor standard specifies an optimal manner of performing the discrete set of motions. Thereafter, the process generates a set of recommendations for performing the task efficiently according to the labor standard. | 03-12-2009 |
20090083121 | METHOD AND APPARATUS FOR DETERMINING PROFITABILITY OF CUSTOMER GROUPS IDENTIFIED FROM A CONTINUOUS VIDEO STREAM - A computer implemented method, apparatus, and computer usable program product for determining profitability of customer groups. The process parses event data to identify dynamic customer data, wherein the event data is derived from a continuous video stream captured at a retail facility. The process then combines the dynamic customer data with customer profile data to form dynamic customer profiles and analyzes the dynamic customer profiles to identify the customer groups. Thereafter, the process ranks the customer groups according to profitability of the customer groups. | 03-26-2009 |
20090083122 | METHOD AND APPARATUS FOR IDENTIFYING CUSTOMER BEHAVIORAL TYPES FROM A CONTINUOUS VIDEO STREAM FOR USE IN OPTIMIZING LOSS LEADER MERCHANDIZING - A computer implemented method, apparatus, and computer usable program product for optimizing loss leader merchandizing. The process parses event data to identify physical patterns of customer behavior, wherein the event data is derived from a continuous video stream captured at a retail facility, and associates the physical patterns of customer behavior with customer profile data to form dynamic customer profiles. The process then analyzes the dynamic customer profiles to identify types of customers and presents marketing incentives for a set of loss leader items to customers of a selected customer type, wherein the set of loss leader items are selected based on the dynamic profiles. | 03-26-2009 |
20090089107 | METHOD AND APPARATUS FOR RANKING A CUSTOMER USING DYNAMICALLY GENERATED EXTERNAL DATA - A computer implemented method, apparatus, and computer usable program product for ranking a potential customer. In one embodiment, external data associated with the potential customer is processed in a set of data models to generate a set of risk assessment factors for the potential customer. The external data comprises dynamic customer data elements generated in real-time as the potential customer is approaching a retail facility. The potential customer is ranked based on the risk assessment factors. The ranking indicates whether the potential customer poses a possible risk to the retail facility. In response to the ranking indicating that the potential customer poses the possible risk, actions are initiated to deter the potential customer from entering the retail facility. | 04-02-2009 |
20090089108 | METHOD AND APPARATUS FOR AUTOMATICALLY IDENTIFYING POTENTIALLY UNSAFE WORK CONDITIONS TO PREDICT AND PREVENT THE OCCURRENCE OF WORKPLACE ACCIDENTS - A computer implemented method, apparatus, and computer usable program product for predicting an occurrence of a workplace accident. The process monitors current event data derived from a continuous video stream. The current event data comprises metadata describing events occurring at a workplace. The process then compares the current event data with previous event data that describes a set of previous events associated with a previously identified workplace accident. In response to detecting events in the current event data corresponding to at least one event in the set of previous events, the process generates a notification identifying a potential occurrence of the workplace accident. | 04-02-2009 |
20090177605 | RISK ASSESSMENT WITHIN AN AIRCRAFT - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within an aircraft. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score. | 07-09-2009 |
20090177606 | RISK ASSESSMENT IN A PRE/POST SECURITY AREA WITHIN AN AIRPORT - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a pre/post security area within an airport. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives inference data comprising inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score. | 07-09-2009 |
20090177608 | RISK ASSESSMENT IN A GATE AREA OF AN AIRPORT - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a gate area of an airport. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score. | 07-09-2009 |
20090177609 | RISK ASSESSMENT IN AN AREA EXTERNAL TO AN AIRPORT - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a security perimeter area surrounding an airport. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score. | 07-09-2009 |
20090177614 | RISK ASSESSMENT BETWEEN AIRCRAFTS - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a first aircraft. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score. | 07-09-2009 |
20090177615 | RISK ASSESSMENT BETWEEN AIRPORTS - A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a first airport. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score. | 07-09-2009 |
20090208054 | MEASURING A COHORT'S VELOCITY, ACCELERATION AND DIRECTION USING DIGITAL VIDEO - A computer implemented method, apparatus, and computer program product for identifying positional data for an object moving in an area of interest. Positional data for each camera in a set of cameras associated with the object is retrieved. The positional data identifies a location of each camera in the set of cameras within the area of interest. The object is within an image capture range of each camera in the set of cameras. Metadata describing video data captured by the set of cameras is analyzed using triangulation analytics and the positional data for the set of cameras to identify a location of the object. The metadata is generated in real time as the video data is captured by the set of cameras. The positional data for the object is identified based on locations of the object over a given time interval. The positional data describes motion of the object. | 08-20-2009 |
20090232357 | DETECTING BEHAVIORAL DEVIATIONS BY MEASURING EYE MOVEMENTS - According to one embodiment of the present invention, a computer implemented method, apparatus, and computer usable program product is provided for detecting behavioral deviations in members of a cohort group. A member of a cohort group is identified. Each member of the cohort group shares a common characteristic. Ocular metadata associated with the member of the cohort group is generated in real-time. The ocular metadata describes movements of an eye of the member of the cohort group. The ocular metadata is analyzed to identify patterns of ocular movements. In response to the patterns of ocular movements indicating behavioral deviations in the member of the cohort group, the member of the cohort group is identified as a person of interest. A person of interest may be subjected to an increased level of monitoring and/or other security measures. | 09-17-2009 |
20090234839 | SMART SENSOR BASED ENVIRONMENT FOR OPTIMIZING A SELECTION OF MEAL PLANS - A computer implemented method, apparatus, and computer program product for selection of meal plans. In one embodiment, a set of prospective guests are identified from at least one of a set of sensors collecting historical attendance data and a calendaring application. A set of nutritional requirements is then identified for the set of prospective guests. Thereafter, a set of meal plans is selected on an availability of ingredients and the nutritional requirements of the set of prospective guests, wherein the availability of ingredients is determined by sensors from the set of sensors monitoring the ingredients. | 09-17-2009 |
20090240513 | OPTIMIZING CLUSTER BASED COHORTS TO SUPPORT ADVANCED ANALYTICS - A computer implemented method, apparatus, and computer program product is provided for selecting subjects for treatment study cohorts. A set of selected dimensions for optimizing selection of subjects for a treatment cohort group and a control cohort group associated with a treatment study is identified. Attribute data associated with subjects in the pool of available subjects is clustered at the atomic level to form clustered cohort data. A set of optimized subjects from a pool of available subjects is selected using the clustered cohort data and the set of selected dimensions. Subjects in the set of optimized subjects are optimized across the set of selected dimensions. Each subject in the set of optimized subjects is assigned to the treatment cohort group or the control cohort group. | 09-24-2009 |
20090240556 | ANTICIPATING MERCHANDISING TRENDS FROM UNIQUE COHORTS - A computer implemented method, apparatus, and computer-usable program product for identifying marketing trends in unique cohort groups. Information describing a plurality of unique cohort groups associated with a public environment is retrieved. Each member of a cohort group in the plurality of unique cohort groups shares at least one common attribute. Sets of attributes associated with the plurality of unique cohort groups are identified. The sets of attributes are analyzed by a cohort trend detection engine to identify attribute trends associated with the sets of attributes and a frequency of occurrence of the attribute trends in the plurality of unique cohort groups to form current attribute trends. In response to a query to an inference engine requesting inferences associated with the marketing trends, inferences describing future occurrences of the attributes in the plurality of cohort groups are received to form a set of future attribute trends. A set of marketing trends are generated using the current attribute trends and the set of future attribute trends. The set of marketing trends describes probable future marketing trends in the given environment. | 09-24-2009 |
20090240695 | UNIQUE COHORT DISCOVERY FROM MULTIMODAL SENSORY DEVICES - According to one embodiment of the present invention, a computer implemented method, apparatus, and computer-usable program product for generating unique cohort groups using multimodal sensory device. Multimodal sensory data is received from a set of multimodal sensors in a public environment. The set of multimodal sensors are associated with a network. The multimodal sensory data is received from the set of multimodal sensors over the network. The multimodal sensory data is processed to generate a plurality of attributes to form cohort attributes. A plurality of unique cohort groups is generated using the cohort attributes and the multimodal sensory data. Each member of the cohort group shares at least one common attribute. | 09-24-2009 |
20090287503 | ANALYSIS OF INDIVIDUAL AND GROUP HEALTHCARE DATA IN ORDER TO PROVIDE REAL TIME HEALTHCARE RECOMMENDATIONS - A method for managing data. A datum regarding a first patient is received. A first set of relationships is established. The first set of relationships comprises at least one relationship of the datum to at least one additional datum existing in at least one database. A plurality of cohorts to which the first patient belongs is established based on the first set of relationships. Ones of the plurality of cohorts contain corresponding first data regarding the first patient and corresponding second data regarding a corresponding set of additional information. The corresponding set of additional information is related to the corresponding first data. The plurality of cohorts is clustered according to at least one parameter, wherein a cluster of cohorts is formed. A determination is made of which of at least two cohorts in the cluster are closest to each other. The at least two cohorts can be stored. | 11-19-2009 |
20090316968 | MAPPING OF LITERATURE ONTO REGIONS OF INTEREST ON NEUROLOGICAL IMAGES - A computer implemented method, apparatus, and computer program product for analyzing neurological images. A set of brain scans for a patient is compared to a set of baseline control scans to automatically identify regions of interest in the set of patient scans. A region of interest is an area in a scan that shows an indication of a potential abnormality. A set of electronic medical literature sources is searched for medical literature relevant to the regions of interest in the set of patient scans. The relevant medical literature is correlated to the medical literature describing the regions of interest in the set of patient scans to the regions of interest in the set of patient scans. A result is generated. The result comprises the regions of interest and a set of links to the correlated portions of the relevant medical literature are outputted. | 12-24-2009 |
20090316969 | DETERMINING EFFICACY OF THERAPEUTIC INTERVENTION IN NEUROSYCHIATRIC DISEASE - A computer implemented method, apparatus, and computer program product for determining the efficacy of neuropsychiatric therapy is provided. A neuroimage mapping manager automatically compares a first set of regions of interest in a first set of scans taken at a first time to a second set of regions of interest in a second set of scans generated at a second time and identifies a set of changes in the regions of interest occurring over time. The neuroimage mapping manager searches a set of electronic medical literature sources for medical literature relevant to the set of changes in the regions of interest and identifies portions of the relevant medical literature associated with the set of changes in the regions of interest. The neuroimage mapping manager generates results comprising the set of changes in the regions of interest and a set of links to the portions of the relevant medical literature. | 12-24-2009 |
20100010316 | DIFFERENTIAL DIAGNOSIS OF NEUROPSYCHIATRIC CONDITIONS - A computer implemented method, apparatus, and computer program product for generating neuropsychiatric diagnoses. Quantitative information describing diagnostic characteristics associated with a patient is generated based on an analysis of a set of patient scans. The quantitative information comprises a set of indictors associated with regions of interest in the set of scans for the patient. The set of indicators of potential neuropsychiatric conditions is compared with a set of diagnostic signatures. A diagnostic signature comprises a set of indicators of a known neuropsychiatric condition. Matching signatures are identified. A matching signature is a diagnostic signature that corresponds to at least one indicator in the set of indicators to form a set of signatures. A diagnosis associated with each signature in the set of signatures is identified to form a set of potential diagnoses. The set of potential diagnoses is presented with links to relevant portion of the medical literature. | 01-14-2010 |
20100010363 | DETERMINATION OF NEUROPSYCHIATRIC THERAPY MECHANISMS OF ACTION - A computer implemented method, apparatus, and computer program product of determining mechanisms of action for therapies. A first set of brain scans for each subject in a plurality of subjects generated at a first time period and a second set of brain scans for each subject generated at a second time period are received. Each subject is diagnosed with a given condition and received a given therapy. A set of changes in the set of brain scans is identified for the each subject based on a comparison of a first set of regions of interest in the first set of scans for each subject with a second set of regions of interest in the second set of scans for each subject. A set of typical changes attributable to the given therapy is identified. A mechanism of action for the given therapy is generated based on the set of typical changes. | 01-14-2010 |
20100010827 | AUTOMATICALLY DEVELOPING NEUROPSYCHIATRIC TREATMENT PLANS BASED ON NEUROIMAGE DATA - A computer implemented method, apparatus, and computer program product for developing neuropsychiatric treatment plans. A treatment plan generator receives a set of diagnoses for a patient. The treatment plan generator automatically analyzes medical information in a set of electronic medical literature sources for potential therapies associated with treatment of each identified condition in the set of diagnoses. The treatment plan generator identifies the potential therapies associated with the treatment of each diagnosed condition. The treatment plan generator selects a set of recommended therapies from the potential therapies based on portions of the medical literature describing each therapy in the potential therapies and a medical history for the patient. The treatment plan generator generates a treatment plan. The treatment plan comprises the set of recommended therapies to treat each diagnosed condition in the set of diagnoses. | 01-14-2010 |
20100010831 | AUTOMATICALLY DETERMINING IDEAL TREATMENT PLANS FOR COMPLEX NEUROPSYCHIATRIC CONDITIONS - A computer implemented method, apparatus, and computer program product for modifying neuropsychiatric treatment plans based on efficacy of treatment. A current treatment plan comprising a first set of therapies to treat a set of neuropsychiatric conditions and portions of the medical literature associated with the set of neuropsychiatric conditions is retrieved. A set of brain scans of the patient is analyzed to determine a set of changes over time associated with the set of neuropsychiatric conditions. The portions of the medical literature and the set of changes are analyzed to determine a patient rate of response to the treatment plan. If the patient rate of response falls below a threshold expected rate, a set of alternative treatments for the patient is identified. A modified treatment plan is generated using the set of alternative treatments. | 01-14-2010 |
20100049805 | Selection and Delivery of Messages Based on an Association of Pervasive Technologies - A computer implemented method, apparatus, and computer program product for selectively delivering messages. In one embodiment, the process identifies a set of pervasive devices using detection data. The detection data comprises an electronic signature transmitted from the set of pervasive devices associated with a set of users in a monitored location. The process then assigns a demographic profile to each user of the set of users based on an identity of a pervasive device from the set of pervasive devices which is associated with the user. Thereafter, the process presents a set of messages to the set of users, wherein the set of messages are selected using the demographic profile assigned to each user of the set of users. | 02-25-2010 |
20100114660 | SYSTEM AND METHOD FOR MAKING AN INFERENCE BASED ON CUMULATIVE DATA - A method for making an inference based on cumulative data. The method utilizes video, audio, and biometric devices to observe a retail environment for the presence of a customer. Once a customer is present, the method identifies every cohort to which the customer corresponds. Next, the method observes the customer as they peruse aisles in the retail environment. When the customer selects a product, the method identifies the selected product and searches the cohorts for alternate products to offer the customer. The method offers one alternate product to the customer and records to the cohorts whether the customer thereinafter accepts the method's offer and selects the alternate product or rejects the method's offer and continues perusing the retail environment aisles. The method continues observing the customer and offering alternate product until the customer leaves the retail environment. | 05-06-2010 |
20100131206 | Identifying and Generating Olfactory Cohorts Based on Olfactory Sensor Input - A computer implemented method, apparatus, and computer program product for generating olfactory cohorts. Olfactory data is received from a set of chemical sensors. The olfactory data describes a set of olfactory patterns for an air sample. The olfactory data is processed to identify attributes of particles in the air sample and generate digital olfactory data. The digital olfactory data comprises metadata describing the attributes of the particles in the air sample to form digital olfactory data. A set of olfactory cohorts is generated using the attributes in the digital olfactory data. | 05-27-2010 |
20100131263 | Identifying and Generating Audio Cohorts Based on Audio Data Input - A computer implemented method, apparatus, and computer program product for generating audio cohorts. An audio analysis engine receives audio data from a set of audio input devices. The audio data is associated with a plurality of objects. The audio data comprises a set of audio patterns. The audio data is processed to identify attributes of the audio data to form digital audio data. The digital audio data comprises metadata describing the attributes of the audio data. A set of audio cohorts is generated using the digital audio data and cohort criteria. Each audio cohort in the set of audio cohorts comprises a set of objects from the plurality of objects that share at least one audio attribute in common. | 05-27-2010 |
20100148970 | Generating Deportment and Comportment Cohorts - A computer implemented method, apparatus, and computer program product for generating deportment and comportment cohorts. Digital sensor data associated with an individual is received. The digital sensor data comprises event metadata describing a set of events associated with the individual. The set of events comprises at least one of body language, facial expressions, vocalizations, and social interactions of the individual. In response to determining description data for the individual is available, the description data is retrieved. The description data comprises at least one of identification information, past history information, and current status information for the individual. A set of conduct analysis models based on the event metadata and the available description data is selected. The set of conduct analysis models process the event metadata describing the set of events associated with the individual to identify and interpret the set of events. The event metadata and the description data is analyzed in the set of conduct analysis models to form a deportment and comportment cohort. The deportment and comportment cohort comprises attributes identifying a demeanor and manner of the individual. | 06-17-2010 |
20100150457 | Identifying and Generating Color and Texture Video Cohorts Based on Video Input - A computer implemented method, apparatus, and computer program product for generating video based cohorts. Digital video data is processed to identify a set of color and texture based attributes associated with the set of objects. The digital video data comprises metadata describing the set of objects. The set of color and texture based attributes are analyzed using cohort criteria to form a result. The cohort criteria specify attributes that are associated with members of a given cohort. A set of cohorts is generated based on the result. Each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one color and texture based attribute in common. | 06-17-2010 |
20100150458 | Generating Cohorts Based on Attributes of Objects Identified Using Video Input - A computer implemented method, apparatus, and computer program product for generating video based cohorts. Digital video data is processed to identify a set of size and shape based attributes associated with the set of objects. The digital video data comprises metadata describing the set of objects. A size and shape attribute comprises an attribute describing a shape associated with a portion of an object or a size measurement of the portion of the object. The set of size and shape based attributes are analyzed using cohort criteria to form a result. The cohort criteria specify attributes that are associated with members of a given cohort. A set of cohorts is generated based on the result. Each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one size and shape based attribute in common. | 06-17-2010 |
20100153133 | Generating Never-Event Cohorts from Patient Care Data - The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for generating never-event cohorts. In response to receiving patient care data derived from a population of patients, the patient care data is processed to form digital patient care data. The digital patient care data includes metadata describing a set of patient care patterns associated with one or more patients in the population of patients. The digital patient care data is analyzed using cohort criteria to identify a set of never-event attributes from the set of patient care patterns. The cohort criteria specifies at least one never-event attribute from the set of never-event attributes for each cohort in a set of never-event cohorts. Thereafter, a set of never-event cohorts is generated. The set of never-event cohorts is formed from members selected from the population of patients, and each member of a cohort in the set of never-event cohorts has the at least one never-event attribute in common. | 06-17-2010 |
20100153146 | Generating Generalized Risk Cohorts - A computer implemented method, apparatus, and computer program product for generating general risk scores for general risk cohorts. Digital sensor data associated with a general risk cohort is received from a set of multimodal sensors. The digital sensor data comprises metadata describing attributes associated with at least one member of the general risk cohort. Each member of the general risk cohort comprises data describing objects belonging to a category. A general risk score for the general risk cohort is generated based on selected risk factors and the attributes associated with the at least one member of the general risk cohort. In response to a determination that the general risk score exceeds a risk threshold, a response action is initiated. | 06-17-2010 |
20100153147 | Generating Specific Risk Cohorts - A computer implemented method, apparatus, and computer program product for generating risk scores for specific risk cohorts. Digital sensor data associated with a specific risk cohort is received from a set of multimodal sensors. The specific risk cohort includes a set of identified cohort members. The digital sensor data includes metadata describing attributes associated with at least one cohort member in the set of identified cohort members. Description data for each cohort member in the set of identified cohort members is retrieved to form a set of cohort description data. The description data for each cohort member comprises data describing a previous history of the cohort member or a current status of the cohort member. The cohort member is a person, animal, plant, thing, or location. A specific risk score is generated for the specific risk cohort based on selected risk factors, the attributes associated with the at least one identified member, and the set of cohort description data. A response action is initiated in response to a determination that the specific risk score exceeds a risk threshold. | 06-17-2010 |
20100153174 | Generating Retail Cohorts From Retail Data - The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for generating retail cohorts. In an illustrative embodiment, retail data derived from a population of retail customers is received and processed to form digital retail data. The digital retail data includes metadata describing a set of retail patterns associated with one or more customers in the population of retail customers. The set of retail patterns form a set of retail attributes for cohort generation. The digital retail data is analyzed using cohort criteria to identify a set of retail cohorts based on the set of retail attributes. The cohort criteria specify at least one retail attribute from the set of retail attributes for each cohort in the set of retail cohorts. Thereafter, a set of retail cohorts are generated. The retail cohorts have members selected from the population of retail customers, and have the at least one retail attribute in common. | 06-17-2010 |
20100153180 | Generating Receptivity Cohorts - A computer implemented method, apparatus, and computer program product for generating receptivity cohorts. Digital sensor data associated with a set of individuals is retrieved in response to receiving an identification of a proposed future change in a current set of circumstances associated with the set of individuals. The digital sensor data comprises events metadata describing a set of events associated with the set of individuals. The set of events comprises at least one of body language, facial expressions, vocalizations, and social interactions of the set of individuals. An analysis server selects a set of receptivity analysis models based on the proposed future event and the set of events. Each analysis model in the set of receptivity analysis models analyzes the set of events to identify conduct attributes indicating receptiveness of each individual in the set of individuals to the proposed future change. The events metadata describing the set of events is analyzed in the selected set of receptivity analysis models to form a receptivity cohort. The receptivity cohort comprises a set of conduct attributes indicating receptiveness of each individual in the set of individuals to the proposed future change. | 06-17-2010 |
20100153353 | Generating Predilection Cohorts - A computer implemented method, apparatus, and computer program product for generating risk scores for specific risk cohorts. Digital sensor data associated with a specific risk cohort is received from a set of multimodal sensors. The specific risk cohort includes a set of identified cohort members. The digital sensor data includes metadata describing attributes associated with at least one cohort member in the set of identified cohort members. Description data for each cohort member in the set of identified cohort members is retrieved to form a set of cohort description data. The description data for each cohort member comprises data describing a previous history of the cohort member or a current status of the cohort member. The cohort member is a person, animal, plant, thing, or location. A specific risk score is generated for the specific risk cohort based on selected risk factors, the attributes associated with the at least one identified member, and the set of cohort description data. A response action is initiated in response to a determination that the specific risk score exceeds a risk threshold. | 06-17-2010 |
20100153389 | Generating Receptivity Scores for Cohorts - A computer implemented method, apparatus, and computer program product for generating receptivity cohorts. A receptivity cohort is identified. The receptivity cohort includes a set of members and conduct attributes for the set of members. Each conduct attribute in the set of conduct attributes describes at least one of a facial expression, vocalization, body language, and social interactions of a member in the set of members. Each conduct attribute is an indicator of receptiveness to a proposed future change in a set of circumstances associated with the set of members. Events metadata is received. The events metadata describes the set of circumstances associated with the set of members. The set of conduct attributes and the events metadata is analyzed to generate a receptivity score for the receptivity cohort. The receptivity score indicates a level of receptiveness of the set of members to the proposed future change in the set of circumstances. The set of members of the receptivity cohort are identified as receptive to the proposed future change based on the result of a comparison of the receptivity score to a threshold score. | 06-17-2010 |
20100153390 | Scoring Deportment and Comportment Cohorts - A computer implemented method, apparatus, and computer program product for scoring deportment and comportment cohorts. A deportment and comportment cohort having a set of conduct attributes is received. The conduct attributes may include at least one of a facial expression, vocalization, body language, and social interactions. A deportment and comportment cohort score is calculated. The deportment and comportment cohort score is normalized to calculate an overall deportment and comportment cohort score using at least one of demographic data and patterns of historical conduct. The overall cohort score indicates an appropriateness of conduct displayed by a member of the deportment and comportment cohort. Thereafter, a predefined action is executed based on the overall deportment and comportment cohort score. | 06-17-2010 |
20100153458 | Identifying and Generating Sensor and Actuator Cohorts - A computer implemented method, apparatus, and computer program product for generating a cohort using sensor and actuator input data. A signal is received from a set of sensors and actuators associated with a set of objects. In response to a determination that the signal is in an analog format, the signal is converted from the analog format into a digital format to form digital signal data. The digital signal data is processed to identify sensor and actuator attributes associated with the set of objects. The digital signal data comprises metadata describing the identified sensor and actuator attributes. A set of cohorts is generated using the sensor and actuator attributes, wherein each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one sensor and actuator attribute in common. | 06-17-2010 |
20100153470 | Identifying and Generating Biometric Cohorts Based on Biometric Sensor Input - The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for generating biometric cohorts. In one embodiment, biometric data is received which identifies a set of biometric patterns. The biometric data is received from a set of biometric sensors. The biometric data is processed to form digital biometric data that identifies attributes of the biometric data. In addition, the digital biometric data includes metadata describing the attributes of the biometric data. Thereafter, a set of biometric cohorts is generated using the digital biometric data. Each member of the set of biometric cohorts shares at least one biometric attribute in common. | 06-17-2010 |
20100153597 | Generating Furtive Glance Cohorts from Video Data - The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for generating furtive glance cohorts. In an illustrative embodiment, video data of a monitored population is received and processed to form digital video data. The digital video data includes metadata describing glancing patterns associated with one or more subjects from the monitored population. The digital video is analyzed to identify a set of furtive glance patterns from the glancing patterns. One or more furtive glance attributes for the set of furtive glance cohorts are selected from the set of furtive glance patterns. Thereafter, the set of furtive glance cohorts is generated. The set of furtive glance cohorts have members selected from the monitored population and have at least one furtive glance attribute in common. | 06-17-2010 |
20100262918 | MANAGEMENT OF DATA ON RELATED WEBSITES - A computer-implemented method, system and computer program product of managing and sharing entries into a webpage are presented. The computer-implemented method receives an input to an input box located in a first webpage on a first network. This input is analyzed to determine its subject matter, and is then migrated into an appropriate subject box on the webpage. In one embodiment, the input is then shared with another webpage, for the same user, which is on a second network. | 10-14-2010 |
20100280680 | PROCESSOR COOLING MANAGEMENT - Illustrative embodiments provide a computer implemented method, a data processing system, and a computer program product for adjusting cooling settings. The computer implemented method comprises analyzing a set of instructions of an application to determine a number of degrees by which a set of instructions will raise a temperature of at least one processor core. The computer implemented method further calculates a cooling setting for at least one cooling system for the at least one processor core. The computer implemented method adjusts the at least one cooling system based on the cooling setting. The step of analyzing the set of instructions is performed before the set of instructions is executed on the at least one processor core. The step of adjusting the at least one cooling system is performed before the set of instructions is executed on the at least one processor core. | 11-04-2010 |
20120150790 | GENERATING A RECOMMENDATION TO ADD A MEMBER TO A RECEPTIVITY COHORT - A processor-implemented method, system, and/or computer program product generate a recommendation to add a member to a receptivity cohort. A receptivity cohort is made up of members who share a conduct attribute, which is a facial expression, body language, and/or social interaction of a person. The conduct attribute has been predetermined to be an indicator of a level of receptiveness to a proposed future change in a set of circumstances. Biometric sensor data, which describe the facial expression, body language and/or social interaction for a candidate member, are retrieved from a set of biometric sensors. The retrieved biometric sensor data for the candidate member is compared to the conduct attribute of members of the receptivity cohort. In response to the biometric sensor data for the candidate member matching the conduct attribute of members of the receptivity cohort, a recommendation is generated to add the candidate member to the receptivity cohort. | 06-14-2012 |
20120207362 | MAPPING OF LITERATURE ONTO REGIONS OF INTEREST ON NEUROLOGICAL IMAGES - A computer implemented method, apparatus, and computer program product for analyzing neurological images. A set of brain scans for a patient is compared to a set of baseline control scans to automatically identify regions of interest in the set of patient scans. A region of interest is an area in a scan that shows an indication of a potential abnormality. A set of electronic medical literature sources is searched for medical literature relevant to the regions of interest in the set of patient scans. The relevant medical literature is correlated to the medical literature describing the regions of interest in the set of patient scans to the regions of interest in the set of patient scans. A result is generated. The result comprises the regions of interest and a set of links to the correlated portions of the relevant medical literature are outputted. | 08-16-2012 |
20120330654 | IDENTIFYING AND GENERATING AUDIO COHORTS BASED ON AUDIO DATA INPUT - A computer implemented method, system, and/or computer program product generates an audio cohort. Audio data from a set of audio sensors is received by an audio analysis engine. The audio data, which is associated with a plurality of objects, comprises a set of audio patterns. The audio data is processed to identify audio attributes associated with the plurality of objects to form digital audio data. This digital audio data comprises metadata that describes the audio attributes of the set of objects. A set of audio cohorts is generated using the audio attributes associated with the digital audio data and cohort criteria, where each audio cohort in the set of audio cohorts is a cohort of accompanied customers in a store, and where processing the audio data identifies a type of zoological creature that is accompanying each of the accompanied customers. | 12-27-2012 |
20130022948 | Detecting Behavioral Deviations by Measuring Eye Movements - Detecting behavioral deviations in members of a cohort group is provided. Ocular metadata is analyzed to identify patterns in changes in a size of a pupil of an eye of a member of the cohort group captured by a set of cameras. The ocular metadata describes the changes in the size of the pupil. The patterns in the changes in the size of the pupil include a rate of changes in the size of the pupil, a degree of change in the size of the pupil, and a number of changes in the size of the pupil. The patterns in the changes in the size of the pupil indicate any external stimuli associated with the changes in the size of the pupil. In responsive to the changes in the size of the pupil indicating behavioral deviations in the member, the member is identified as a person of interest. | 01-24-2013 |