Walmart Apollo, LLC

Vivek Crasta

Yitao Yao

Pei Wang

Hui-Min Chen

Sangita Fatnani

Vidhya Raman

Uday Akella

Zhiping Tang

James ZhiPing Tang

Jaya Kolhatkar

Guoyu Zhu

A method and system for identifying and labeling fraudulent store return activities includes receiving, by a server, retailer events from an online transaction system of a retailer, the retailer events comprising records of transactions between customers and the retailer, including sale, exchange and return activities across multiple stores. The retailer events are processed to build a network that associates stores, transactions, payment instruments, and customer identification over related activity sequences of transactions. Return fraud labels are generated for the retailer events representing returns based on identified fraud characteristics of the related activity sequences by: representing behavior variables extracted from activity sequences by respective signature vectors; calculating pairwise similarity between the signature vectors; identifying clusters of the signature vectors having common behavior patterns based on the calculated pairwise similarity; and labeling the identified clusters of signature vectors as non-fraudulent behavior or fraudulent behavior.

Identifying and labeling fraudulent store return activities

Systems, methods, and devices for polyglot computing may include, in a single execution, adapting at least one first instruction in a first language and at least one second instruction in the first language into a code comprising the at least one first instruction in the first language and the at least one second instruction in a second language; producing a first result in the first language based on executing the code using a dataset in a data store, wherein the producing the first result in the first language is performed in the single execution; producing a second result in the second language based on executing the code using the dataset; and adapting the second result in the second language into the second result in the first language.

Systems and methods for polyglot analysis

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Sunnyvale, CA, United States of America

Vivek Crasta