| FAIR ISAAC CORPORATION Patent applications |
| Patent application number | Title | Published |
|---|
| 20120078681 | MULTI-HIERARCHICAL CUSTOMER AND PRODUCT PROFILING FOR ENHANCED RETAIL OFFERINGS - The current subject matter provides the ability to infer a richer customer profile using purchase transaction data in conjunction with various hierarchical groupings of products as well as an ability to characterize products such that they can be used to enrich customer profiles. Related apparatus, systems, techniques and articles are also described. | 03-29-2012 |
| 20110288989 | TIME-EFFICIENT AND DETERMINISTIC ADAPTIVE SCORE CALIBRATION TECHNIQUES FOR MAINTAINING A PREDEFINED SCORE DISTRIBUTION - A system and method for maintaining a pre-defined score distribution for financial transactions are disclosed. A number of memory spaces are defined for a memory structure. Transaction data for the financial transactions is received by the system. Each of the financial transactions is scored based on the transaction data to generate a batch of scores for the financial transactions. A score range is divided into k bins, where each of the k bins representing one memory space of the memory spaces of the memory structure. The batch of scores are aggregated by storing a count of each score of the batch of scores in an associated memory space of the plurality of memory spaces, and a percentile is computed for each score in the batch of scores based on a set of values associated with the count of each score. Each new financial transaction is scored to generate a new score, and a new percentile is assigned to the new score according to the set of values. The percentile of the new score is translated to a calibration score with fixed percentile characteristics according to a fixed reference curve. | 11-24-2011 |
| 20110264459 | HEALTHCARE INSURANCE CLAIM FRAUD DETECTION USING DATASETS DERIVED FROM MULTIPLE INSURERS - Various techniques are described that enable a smaller insurer (or an insurer with a less developed dataset) to be able to characterize whether certain healthcare insurance claim elements are potentially fraudulent or erroneous. Datasets from larger insurers (with well developed datasets) and/or datasets from a consortium of insurers can be leverage by the smaller insurer. Related techniques, apparatus, systems, and articles are also described. | 10-27-2011 |
| 20110137847 | CAUSAL MODELING FOR ESTIMATING OUTCOMES ASSOCIATED WITH DECISION ALTERNATIVES - A method and system for estimating potential future outcomes resulting from decision alternatives is presented to enable lenders to make lending related decisions. The estimation is based on a propensity score variable that encompasses an effect of multiple covariates associated with one or more individuals for whom the estimation is being performed. For consistency with empirical testing, the estimation approach assumes conditions of unconfoundedness and localized common support. According to the unconfoundedness assumption, for a given variable, the potential outcomes are conditionally independent of the decision alternatives. According to the localized common support assumption, an overlap is ensured between individual accounts that are categorized together as potentially having the same future outcome. The outcomes and an effect (e.g. comparison) of the outcomes may be displayed graphically. | 06-09-2011 |
| 20090148833 | DEVICES FOR GENERATING DETECTABLE POLYMERS - This document provides systems, devices, and methods involved in generating detectable polymers. For example, diagnostic systems, diagnostic devices, primer systems, and collections of primer systems are provided. | 06-11-2009 |
| 20090044279 | Systems and methods for fraud detection via interactive link analysis - Fraud detection is facilitated by developing account cluster membership rules and converting them to database queries via an examination of clusters of linked accounts abstracted from the customer database. The cluster membership rules are based upon certain observed data patterns associated with potentially fraudulent activity. In one embodiment, account clusters are grouped around behavior patterns exhibited by imposters. The system then identifies those clusters exhibiting a high probability of fraud and builds cluster membership rules for identifying subsequent accounts that match those rules. The rules are designed to define the parameters of the identified clusters. When the rules are deployed in a transaction blocking system, when a rule pertaining to an identified fraudulent cluster is triggered, the transaction blocking system blocks the transaction with respect to new users who enter the website. | 02-12-2009 |
| 20080208719 | Expert system for optimization of retail shelf space - A business rules engine works with an optimization engine through various user interfaces to facilitate increased efficiency in retail space planning. Rules and models are built from templates that are stored in a repository. Business analysts and retail space planners both have access to the repository to develop models and rules. A project consists of a selection of rules and models from the repository along with selected data from various data sources. A scenario is created for the project by specifying constraints, parameters, and optimization objectives. The optimization engine processes the scenario and attempts to find an optimum solution. when a perfect solution (100%) cannot be found, the optimization engine evaluates the various criteria in the scenario and relaxes requirements until an acceptable solution is found. The output of the optimization engine can automatically be provided as graphical visualizations such as plan-o-grams, graphs, charts, and other forms. | 08-28-2008 |
