Visa International Service Association

Lawson Lau

Guangyu Wang

Melissa Lawu Tran

Debesh Kumar

Preeti Jindal

Japneet Kaur Giglio

Kebin Lu

Sang Hwang

Christopher DeMartini

Yuran Zhou

Paul Rollings

Zhe Zhang

A method for identifying subpopulations may include receiving interaction data associated with interactions from a population of individuals. The interaction data may include a plurality of features. A first subpopulation may be identified based on at least one feature of interaction data of each individual. A second subpopulation may include all individuals other than the first subpopulation. The first subpopulation may be clustered into a first plurality of clusters based on the features. A first subset of features may be determined based on the first clusters. The first subpopulation may be clustered into a second plurality of clusters based on the first subset of features. A range for each feature of a second subset of features may be determined based on the second clusters. A subset of the second subpopulation may be determined based on interaction data for each individual and the range for each feature of the second subset of features.

Method, system, and computer program product for identifying subpopulations

Provided is a method for selectively displaying information regarding activity in a geographic area. The method may include receiving data regarding a plurality of card-present payment transactions that have been conducted in the geographic area during a time interval, determining a plurality of segments of the geographic area, assigning each of the transactions to the segment in which the transaction was conducted, determining aggregate transaction data for each of the segments based on data regarding the transactions that have been assigned to that segment; generating a transaction index for each segment based on a comparison of the aggregate transaction data of that segment with aggregate transaction data of at least one different segment and/or least one predetermined metric, and generating a visual representation comprising data regarding the transaction index of at least one of the segments. A system and computer program product are also provided.

System, method, and computer program product for selectively displaying information regarding activity in a geographic area

Past electronic records may be studied using a computer learning algorithm in order to make predictions of future use of the electronic accounts.

Electronic transactional data based predictive system

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Foster City, CA, United States of America

Lawson Lau