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Author Chau, Polo
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Suspicious network patterns may be the key to detecting criminals and fraudsters on e-commerce sites.
Description Affiliation: Carnegie Mellon University (Chau, Polo)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-12-30
Publisher Place New York
Journal XRDS: Crossroads, The ACM Magazine for Students (XRDS)
Volume Number 17
Issue Number 3
Page Count 3
Starting Page 16
Ending Page 18


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Source: ACM Digital Library