Patent application number | Description | Published |
20090045976 | UTILITY NETWORK AND REVENUE ASSURANCE - A system and method for detecting anomalies in the measurement and distribution of utilities is disclosed. Utility metering data obtained at a utility meter is received through a communications network. A utility consumption associated with an entity is then measured based on the utility metering data. The utility consumption can then be monitored for anomalies based on entity profile characteristics associated with the entity. The utility analytics system and method can be applied to the electrical utility industry, but also applicable to gas and water distribution, and other utilities. | 02-19-2009 |
20090076866 | Revenue Assurance Analytics - A system and method of revenue assurance for a service activity are presented. Multiple data feeds are received by a revenue assurance analytic system, where each data feed contains the same logical component of the service activity. The multiple data feeds are processed to detect revenue assurance issues in the service activity based on one or more common linking keys between disparate records related to the logical component. | 03-19-2009 |
20090222243 | Adaptive Analytics - A computer-implemented method includes receiving a new data record associated with a transaction, and generating, using an adaptive model executed by the computer, a score to represent a likelihood that the transaction is associated with fraud. The adaptive model employs feedback from one or more external data sources, the feedback containing information about one or more previous data records associated with fraud and non-fraud by at least one of the one or more external data sources. Further, the adaptive model uses the information about the one or more previous data records as input variables to update scoring parameters used to generate the score for the new data record. | 09-03-2009 |
20090222308 | DETECTING FIRST PARTY FRAUD ABUSE - A computerized method includes analyzing data associated with a credit line during an origination stage for predictive variables for use in a model for first party fraud, and flagging an account during the origination stage when at least one or more predictive origination stage variables cause a model score to exceed a pre-defined fraud likelihood threshold. The computerized method also includes analyzing data associated with one or more previously flagged, post-booked stage credit lines for data elements or transactions to be used as variables in a model to predictive of first party fraud at the customer-level or in one or more of the post-booked stage credit lines. | 09-03-2009 |
20090327132 | INCREMENTAL FACTORIZATION-BASED SMOOTHING OF SPARSE MULTI-DIMENSIONAL RISK TABLES - A system for classifying a transaction as fraudulent includes a training component and a scoring component. The training component acts on historical data and also includes a multi-dimensional risk table component comprising one or more multidimensional risk tables each of which approximates an initial risk value for a substantially empty cell in a risk table based upon risk values in cells related to the substantially empty cell. The scoring component produces a score, based in part, on the risk tables associated with groupings of variables having values determined by the training component. The scoring component includes a statistical model that produces an output and wherein the transaction is classified as fraudulent when the output is above a selected threshold value. | 12-31-2009 |
20100036672 | Adaptive Outlier Model For Fraud Detection - A system and method for detecting fraud is presented. A self-calibrating outlier model is hosted by a computing system. The self-calibrating outlier model receives transaction data representing transactions, and is configured to calculate transaction-based variables, profiles and calibration parameters, and to produce a score based on the transaction data according to the transaction-based variables, profiles and calibration parameters. An adaptive cascade model is also hosted by the computing system, and is configured to generate a secondary score for the transaction data based on profile information from the variables and/or profiles calculated by the self-calibrating outlier model, and based on a comparison with labeled transactions from a human analyst of historical transaction data. | 02-11-2010 |
20100057773 | FUZZY TAGGING METHOD AND APPARATUS - A computer-implemented method of tagging a transaction that includes tagging a transaction with one of a first tag value or a second tag value, forming a set of clusters associated with the tagged transactions having a first value, and forming a second set of clusters associated with the tagged transactions having a second value. The computer implemented method also includes determining a fuzzy tag value based on a relationship between the transaction and one of the centroids of the clusters having a first tag value, and one of the centroids of the clusters having second value. The method also includes replacing the first tag value or the second tag value with the fuzzy tag value. | 03-04-2010 |
20100228580 | FRAUD DETECTION BASED ON EFFICIENT FREQUENT-BEHAVIOR SORTED LISTS - A computerized method for detecting fraud includes obtaining frequency information on entities in transaction data for at least one individual account, converting frequency information to a frequency variable, and predicting whether an activity is fraudulent in response to the frequency variable. In some embodiments, the frequency variable is used with at least one other variable to predict fraudulent activity. | 09-09-2010 |
20100280943 | Mass Compromise/Point Of Compromise Analytic Detection And Compromised Card Portfolio Management System - A system and method for managing mass compromise of financial transaction devices is disclosed. A method includes maintaining a summary of a transaction history for a financial transaction device, and forming a device history profile based on the transaction history, the device history profile including predictive variables indicative of fraud associated with the financial transaction device. A method further includes generating a fraud score based on the predictive variables, the fraud score representing a likelihood that the financial transaction device is compromised will be used fraudulently. | 11-04-2010 |
20110055074 | VISUALIZATION FOR PAYMENT CARD TRANSACTION FRAUD ANALYSIS - A computer-implemented method and system for visualizing card transaction fraud analysis is presented. Transaction data and account data related to one or more payment card accounts is stored in a database. The transaction data includes a fraud score. A computer processor generates one or more of a plurality of visualizations of activity of at least one suspicious account from the one or more payment card accounts for display in a graphical user interface, each of the plurality of visualizations providing at least a graphical representation of the transaction data and which is selectable from a menu provided by the computer processor in the graphical user interface. The visualizations assist in case judgment of the one or more payment cards. | 03-03-2011 |
20110166979 | CONNECTING DECISIONS THROUGH CUSTOMER TRANSACTION PROFILES - An apparatus and method for developing financial risk decisions for a customer associated with a number of different financial services/channels are disclosed. A hierarchy of relationships among the financial services/channels is generated. Transactional behaviors of the customer related to each of the financial services/channels is summarized, using one or more analytical approaches executed on the hierarchy of relationships, to generate a customer level transactional behavior summary. A customer profile associated with the customer is generated which includes the transactional behavior summary and aggregated information on recent financial transactions associated with each of the financial services/channels. A score for a risk decision can be generated for one or more specific services/channels, based on the customer profile. | 07-07-2011 |
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 |
20110305329 | Network Assurance Analytic System - A network assurance analytics (NAA) system and method is disclosed. The NAA can be part of a risk analytic for telecom (RAFT) program. The NAA system is configured to monitor telecommunications networks, detect errors or fraud in those telecommunications networks, and provide solutions to resolve the errors or reduce the fraud. Traffic of a telecommunications network is electronically monitored for at least one pattern that is indicative of a telecommunications anomaly. Based on a set of a set of telecommunications profiles stored in a database, a model score representing a value of the telecommunications anomaly is generated. A solution for the telecommunications network to reduce the model score associated with the telecommunications anomaly is then generated for execution on the telecommunications network. | 12-15-2011 |
20120005749 | Generic Fraud Detection Model - A method for dynamically updating a model is described. The method includes accessing a model that specifies expected characteristics for a transaction. The model includes variables associated with fraud. The method also includes receiving at least one value for each of the variables while monitoring transactions, and updating a distribution of values for each variable based on the received value. The received value is compared with the updated distribution to determine a deviation from a threshold value associated with a percentile of the updated distribution that is indicative of fraud. | 01-05-2012 |
20120101937 | FRAUD DETECTION BASED ON EFFICIENT FREQUENT-BEHAVIOR SORTED LISTS - A computerized method for detecting fraud includes obtaining frequency information on entities in transaction data for at least one individual account, converting frequency information to a frequency variable, and predicting whether an activity is fraudulent in response to the frequency variable. In some embodiments, the frequency variable is used with at least one other variable to predict fraudulent activity. | 04-26-2012 |
20120173465 | Automatic Variable Creation For Adaptive Analytical Models - A system and method for automated variable creation for adaptive fraud analytics are disclosed. A data structure for creation of rules is generated. The data structure represents nodes and associations between nodes from inputs for fraud/non-fraud conditions, and is generated from fraud and non-fraud data collected in an adaptive modeling process from past transactions. All unique paths between nodes of the data structure are determined to define a rule for each path. Each rule is then converted to a binary indicator variable to generate a set of binary indicator variables, and one or more complex variables is derived from the set of binary indicator variables. The one or more binary indicator variables and one or more complex variables can be provided to an adaptive scoring engine to score new transactions or to predict future behaviors. | 07-05-2012 |
20120191581 | Revenue Assurance Analytics - A system and method of revenue assurance for a service activity are presented. Multiple data feeds are received by a revenue assurance analytic system, where each data feed contains the same logical component of the service activity. The multiple data feeds are processed to detect revenue assurance issues in the service activity based on one or more common linking keys between disparate records related to the logical component. | 07-26-2012 |
20130036036 | MULTIPLE FUNDING ACCOUNT PAYMENT INSTRUMENT ANALYTICS - A system and method for multiple funding account payment instrument analytics is disclosed. A payment instrument profile is generated for a payment instrument that characterizes past activity on the payment instrument and past activity across one or more funding accounts associated with the payment instrument. Current activity on the payment instrument and current activity across one or more funding accounts associated with the payment instrument are monitored to detect an abnormality against the payment instrument profile. A fraud score for the current activity on the payment instrument and current activity across one or more funding accounts associated with the payment instrument is generated. The fraud score is based on a quantified extent of the abnormality. | 02-07-2013 |
20130046685 | TIME-EFFICIENT AND DETERMINISTIC ADAPTIVE SCORE CALIBRATION TECHNIQUES FOR MAINTAINING A PREDEFINED SCORE DISTRIBUTION - A number of memory spaces are defined for a memory structure. Transaction data is received, and financial transactions are scored based on the transaction data to generate a batch of scores for the financial transactions. A score range is divided into k bins, 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 in a memory space, and a percentile is computed for each score in the batch of scores based on a set of values associated with 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 new percentile is then translated to a calibration score with fixed percentile characteristics according to a fixed reference curve. | 02-21-2013 |
20130124393 | CONNECTING DECISIONS THROUGH CUSTOMER TRANSACTION PROFILES - An apparatus and method for developing financial risk decisions for a customer associated with a number of different financial services/channels are disclosed. A hierarchy of relationships among the financial services/channels is generated. Transactional behaviors of the customer related to each of the financial services/channels is summarized, using one or more analytical approaches executed on the hierarchy of relationships, to generate a customer level transactional behavior summary. A customer profile associated with the customer is generated which includes the transactional behavior summary and aggregated information on recent financial transactions associated with each of the financial services/channels. A score for a risk decision can be generated for one or more specific services/channels, based on the customer profile. | 05-16-2013 |
20130204755 | MULTI-LAYERED SELF-CALIBRATING ANALYTICS - This document presents multi-layered, self-calibrating analytics for detecting fraud in transaction data without substantial historical data. One or more variables from a set of variables are provided to each of a plurality of self-calibrating models that are implemented by one or more data processors, each of the one or more variables being generated from real-time production data related to the transaction data. The one or more variables are processed according to each of the plurality of self-calibrating models implemented by the one or more data processors to produce a self-calibrating model output for each of the plurality of self-calibrating models. The self-calibrating model output from each of the plurality of self-calibrating models is combined in an output model implemented by one or more data processors. Finally, a fraud score output for the real-time production data is generated from the self-calibrating model output. | 08-08-2013 |
20140122325 | CARD FRAUD DETECTION UTILIZING REAL-TIME IDENTIFICATION OF MERCHANT TEST SITES - A system and method for detecting a test event involving a financial transaction device at a merchant having a merchant profile is disclosed. The method includes receiving data associated with a transaction involving a financial transaction device; calculating a score using at least the transaction data; comparing the score to a threshold value; and attaching a merchant probe flag to the merchant profile if the score exceeds the threshold value. The merchant probe flag indicates a likelihood that a test event has occurred at the merchant based on the score. If a test event has occurred, then financial transaction devices involved in the test event can have their profiles updated to reflect that they have been probed. If a financial transaction device that has been probed is used in a subsequent transaction, then a specialized fraud scoring model can be used to provide an improved fraud risk score. | 05-01-2014 |