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Scientific Programming
Volume 2016, Article ID 6091385, 18 pages
http://dx.doi.org/10.1155/2016/6091385
Research Article

WSF2: A Novel Framework for Filtering Web Spam

Higher Technical School of Computer Engineering, University of Vigo, Polytechnic Building, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain

Received 11 June 2015; Revised 26 October 2015; Accepted 12 November 2015

Academic Editor: Wan Fokkink

Copyright © 2016 J. Fdez-Glez 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 [4 citations]

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

  • Yuancheng Li, Xiangqian Nie, and Rong Huang, “Web Spam Classification Method Based on Deep Belief Networks,” Expert Systems with Applications, 2017. View at Publisher · View at Google Scholar
  • Tomás R. Cotos-Yañez, José R. Méndez, and David Ruano-Ordás, “A new semantic-based feature selection method for spam filtering,” Applied Soft Computing Journal, vol. 76, pp. 89–104, 2019. View at Publisher · View at Google Scholar
  • Faeze Asdaghi, and Ali Soleimani, “An effective feature selection method for web spam detection,” Knowledge-Based Systems, vol. 166, pp. 198–206, 2019. View at Publisher · View at Google Scholar
  • Marcin Luckner, “Practical Web Spam Lifelong Machine Learning System with Automatic Adjustment to Current Lifecycle Phase,” Security and Communication Networks, vol. 2019, pp. 1–16, 2019. View at Publisher · View at Google Scholar