Patent application number | Description | Published |
20080282020 | DETERMINATION OF SAMPLING CHARACTERISTICS BASED ON AVAILABLE MEMORY - A portion of data records of a full input data set are imported into memory of a computer system for processing by an executing application. The full input data set includes data records of a dimensionally-modeled fact collection. An amount of the data of the full input set to import is determined based on an amount of available memory of the computer system. The sampling characteristics for sampling the full input data set are determined based on the amount of the data that can be imported and on characteristics of the full input data set and application involved. The full input data set is then sampled and a portion of the records are imported into the memory of the computer system for processing. The sampling characteristics are determined such that analysis as a result of processing by the executing application of the sampled portion of the records imported is representative of the analysis that could otherwise be carried out on the full input data set, with a calculable statistical relevance. | 11-13-2008 |
20080288445 | Interactive aggregation of data on a scatter plot - A computer-implemented method, which comprises the following: aggregating a plurality of records in accordance with an aggregation specification, wherein the records are part of a dimensionally-modeled fact collection; graphically representing the records in un-aggregated form; graphically representing the records in aggregated form; and causing the graphical representation of the records to be switched between aggregated form and un-aggregated form based on a user indication. | 11-20-2008 |
20080288527 | User interface for graphically representing groups of data - A technique of operating a user interface that enables the user to graphically manipulate records of a dimensionally-modeled fact collection, which comprises the following: receiving a graphical selection of a subset from a set of data points, each data point representing at least one record of the dimensionally-modeled fact collection; receiving a graphical manipulation of the selected subset of data points; defining at least one data group using the selected subset of data points and based on the graphical manipulation, wherein each data group comprises between 0 to n records represented by the selected subset of data points, wherein n is the total number of data points in the set of data points; and graphically representing the at least one data group. Alternatively, the technique comprises the following: performing an operation on at least one data group as described above; and graphically representing a result of the operation. | 11-20-2008 |
20080294595 | VISUAL INTERFACE TO INDICATE CUSTOM BINNING OF ITEMS - Records representing items in a dimensionally-modeled fact collection are assigned to bins. A count-based portion of a user interface receives user bin assignment specification of the records based on user-specified counts of records. Actual counts for bin assignment are determined by constraining records having a same data value at a specified particular dimension to be within the same bin. A user-observable indication of the determined actual counts is provided. The user interface may include a value-based portion. The value-based portion of the user interface may be operated to receive user indication of bin assignment specification of records based on user-specified at least one value at the particular dimension. Determining actual counts includes reconciling the user indication of bin assignment specification in the count-based portion with the user indication of bin assignment specification in the value-based portion. | 11-27-2008 |
20080294671 | EXPORTING AGGREGATED AND UN-AGGREGATED DATA - A computer-implemented method, which comprises the following: receiving a graphical selection of a subset of data points from a set of data points, each data point representing at least one record of a dimensionally-modeled fact collection; and exporting information associated with the selected subset of data points. | 11-27-2008 |
20090157676 | USING USER SEARCH BEHAVIOR TO PLAN ONLINE ADVERTISING CAMPAIGNS - Targeting parameters are generated for a media buy plan for advertisements to be displayed in conjunction with presenting web pages, based on a history of search events. Key phrases are received relative to a subject of the advertisements to be displayed. The received key phrases are provided as proposed key phrases to determine, from search events indicative of historical data of uses of a search service, a first subportion of search events for queries of the search service with the proposed key phrases and a second subportion of search events for queries of the search service not with the proposed key phrases. Classification processing is applied to determine potential targeting parameters associated with the first subportion and with the second subportion to identify potential targeting parameters that, statistically, contribute to membership in the first sub-population and in the second sub-population, respectively. Statistics are associated with the potential targeting parameters, based on the historical data, indicative of factors usable to determine whether to use the potential targeting parameters as actual targeting parameters of the media buy plan. | 06-18-2009 |
20090204319 | REAL TIME PARKING SEARCH AND POINT-TO-POINT DIRECTION GENERATOR - Methods, systems, and apparatuses for mapping parking locations and for selecting parking are described. A search for parking resources proximate to a destination geographic location is performed. Parking information is generated based on the results of the search. The parking information may be displayed on a map of the destination geographical location. A map of the destination geographical location may be displayed with the parking information. A user may be enabled to select a parking location indicated on the map. The user may reserve the selected parking location if the selected parking location is determined to be reservable. Travel directions (e.g., for walking) from the selected parking location to the destination geographic location may be generated, and may be indicated on the map. | 08-13-2009 |
20100007525 | REAL TIME DETECTION OF PARKING SPACE AVAILABILITY - Methods, systems, and apparatuses for determining parking availability are described. A sensor system is configured to monitor a plurality of parking spaces. The sensor system includes at least one sensor element that generates a sensor data output signal. A parking availability determiner receives the sensor data output signal and generates parking availability information. The parking availability determiner is configured to determine from the received sensor data output signal at least one parking space of the plurality of parking spaces that is occupied, and to include an indication in the parking availability information that the determined at least one parking space is occupied. If one or more further parking space are included in the plurality of parking spaces other than the determined at least one parking space, an indication is included in the parking availability information that the further parking spaces are available for parking. | 01-14-2010 |
20100125597 | SYSTEM AND METHOD FOR DETERMINING SEARCH TERMS FOR USE IN SPONSORED SEARCHES - Systems and methods for determining search terms for sponsored Internet searches are disclosed. A digital Internet ad is served to a plurality of Internet users. Search terms used by the plurality of Internet users served the digital Internet ad may be determined. A number of times each of the plurality of Internet users served the digital Internet ad selects the digital Internet ad is determined. A search term recommendation module determines a correlation level between each search term and the digital Internet ad. At least one of the search terms is recommended for a sponsored Internet search based on the determined correlation levels. | 05-20-2010 |
20120323682 | SYSTEMS AND METHODS FOR BEHAVIORAL MODELING TO OPTIMIZE SHOPPING CART CONVERSION - Systems and methods for behavioral modeling to optimize shopping cart conversion are discussed. For example, a method can include identifying a user interacting with a networked system, accessing user profile data associated with the user, tracking user activity associated with the user, accessing a behavioral model, applying the behavioral model, and determining a shopping cart optimization. The behavioral model can be generated from historical data detailing interactions with the networked system. The behavioral model can be applied to the user profiled data and the user activity data to assist in selection of a shopping cart optimization. | 12-20-2012 |