Spectrum-based Deep Neural Networks for Fraud Detection-Reference-Cited by-同舟云学术

Spectrum-based Deep Neural Networks for Fraud Detection

Published:2017-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
language:
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Author:

Yuan Shuhan¹,Wu Xintao²,Li Jun³,Lu Aidong⁴

Affiliation:

1. Tongji University, Shanghai, China

2. University of Arkansas, Fayetteville, AR, USA

3. University of Oregon, Eugene, OR, USA

4. University of North Carolina at Charlotte, Charlotte, NC, USA

Funder

National Science Foundation

973 Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3132847.3133139

Reference9 articles.

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2. Fabrncio Benevenuto Gabriel Magno Tiago Rodrigues and Virgnlio Almeida. 2010. Detecting spammers on twitter. In CEAS. Fabrncio Benevenuto Gabriel Magno Tiago Rodrigues and Virgnlio Almeida. 2010. Detecting spammers on twitter. In CEAS.

3. Representation Learning: A Review and New Perspectives

4. Qiang Cao Xiaowei Yang Jieqi Yu and Christopher Palow. 2014. Uncovering Large Groups of Active Malicious Accounts in Online Social Networks. In CCS. 10.1145/2660267.2660269 Qiang Cao Xiaowei Yang Jieqi Yu and Christopher Palow. 2014. Uncovering Large Groups of Active Malicious Accounts in Online Social Networks. In CCS. 10.1145/2660267.2660269

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