Abstract
Detecting financial fraud is a daunting challenge for banks and credit card companies due to massive amount of transaction data and wide diversity of user behaviors [1]. In recent years social media has demonstrated the capability of crowdsourcing in a broad range of applications, e.g., disseminating breaking news, launching marketing campaigns, and tracking the flu [2], [3], [4]. Inspired by these novel applications, this paper explores the benefits of social media crowdsourcing, in particularly the tweets, re-tweets and comments from Twitter online social network for effectively detecting financial fraud events.
Original language | English (US) |
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Title of host publication | 2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Volume | 2014-January |
ISBN (Electronic) | 9781479975754 |
DOIs | |
State | Published - Jan 20 2015 |
Event | 33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014 - Austin, United States Duration: Dec 5 2014 → Dec 7 2014 |
Other
Other | 33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014 |
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Country | United States |
City | Austin |
Period | 12/5/14 → 12/7/14 |
ASJC Scopus subject areas
- Software
- Computational Theory and Mathematics
- Computer Networks and Communications