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Mobile Information Systems
Volume 2017, Article ID 6412521, 12 pages
https://doi.org/10.1155/2017/6412521
Research Article

iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection

School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China

Correspondence should be addressed to Jinlong Hu; nc.ude.tucs@uhlj

Received 23 February 2017; Accepted 13 March 2017; Published 3 April 2017

Academic Editor: Elio Masciari

Copyright © 2017 Jinlong Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Jinlong Hu, Junjie Liang, Yuezhen Kuang, and Vasant Honavar, “A User Similarity-based Top- N Recommendation Approach for Mobile In-application Advertising,” Expert Systems with Applications, 2018. View at Publisher · View at Google Scholar
  • Haiqin Weng, Zhao Li, Shouling Ji, Chen Chu, Haifeng Lu, Tianyu Du, and Qinming He, “Online e-commerce fraud: A large-scale detection and analysis,” Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, pp. 1441–1452, 2018. View at Publisher · View at Google Scholar