Visa International Service Association

University of Texas System

Harishkumar Sundarji Majithiya

Roshni Ann Samuel

Yiwei Cai

Dan Wang

Claudia Barcenas

Susan Finnegan

Youxing Qu

Himanshu Chauhan

Wei Zhang

Hao Yang

Liang Wang

Chiranjeet Chetia

Minghua Xu

Junpeng Wang

Shi Cao

Provided is a method for detecting group activities in a network. The method may include receiving interaction data associated with a plurality of interactions. For each account identifier associated with at least one interaction, a value may be determined for each of a first set of categories, and a vector may be generated based on the value for each category. The length of each vector may be determined. At least one relational graph may be generated based on the interaction data. Each relational graph may be associated with a respective category of a second set of categories. At least one cluster of nodes may be determined based on the relational graph(s). A score for each cluster may be determined based on the length of the vector associated with the account identifier of each node of the cluster of nodes. A system and computer program product are also disclosed.

Method, system, and computer program product for detecting group activities in a network

Methods for generating fraud detection rules based on transaction data may include receiving historical transaction data, associating tags with each transaction, generating decision trees having root nodes and child nodes operably connected to the respective root nodes, determining at least one primary rule and at least one set of secondary rules associated with the at least one primary rule based on relationships between features of the transactions, assigning primary rules and sets of secondary rules to the at least one decision tree to populate the tree, extracting a plurality of rule sets including at least one primary rule and one or more secondary rules, determining an ordering of the plurality of rule sets; and determining a subset of rule sets from the ordered plurality of rule sets against which subsequently received transactions are compared against to determine if the subsequent transactions are fraudulent.

System, method, and computer program product for determining fraud rules

Growing community of inventors

Austin, TX, United States of America

Harishkumar Sundarji Majithiya