| UMBC ebiquity |
| Results for tags: spam Publications 11 Refereed Publications 2009 1. "Ensembles in Adversarial Classification for Spam", Proceedings of the 18th ACM Conference on Information and Knowledge Management, November 2009, 1425 downloads, 1 citation. 2008 2. "The Information ecology of social media and online communities", AI Magazine, September 2008, 2633 downloads, 11 citations. 3. "Spings und Splog", Linux Technical Review, May 2008. 2007 4. "Detecting Spam Blogs: An Adaptive Online Approach", Ph.D. Dissertation, December 2007, 2873 downloads, 3 citations. 5. "Spam in Blogs and Social Media, Tutorial ", ICWSM 2007, March 2007, 1690 downloads, 3 citations. 6. "Towards Spam Detection at Ping Servers", Proceedings of the International Conference on Weblogs and Social Media (ICWSM 2007), March 2007, 1411 downloads, 5 citations. 7. "BlogVox: Separating Blog Wheat from Blog Chaff", Proceedings of the Workshop on Analytics for Noisy Unstructured Text Data, 20th International Joint Conference on Artificial Intelligence (IJCAI-2007), January 2007, 1834 downloads, 8 citations. 2006 8. "Blog Track Open Task: Spam Blog Classification", TREC 2006 Blog Track Notebook, November 2006, 4663 downloads, 11 citations. 9. "Detecting Spam Blogs: A Machine Learning Approach", Proceedings of the 21st National Conference on Artificial Intelligence (AAAI 2006), July 2006, 6739 downloads, 75 citations. 10. "Characterizing the Splogosphere", Proceedings of the 3rd Annual Workshop on Weblogging Ecosystem: Aggregation, Analysis and Dynamics, 15th World Wid Web Conference, May 2006, 4633 downloads, 84 citations. 11. "SVMs for the Blogosphere: Blog Identification and Splog Detection", AAAI Spring Symposium on Computational Approaches to Analysing Weblogs, March 2006, 8445 downloads, 112 citations. Additional Resources Presentation 1. On Leveraging Social MediaEvents 1. Analytics for Detecting Web and Social Media Abuse 2. Adversarial Classification: An Ensemble-based approach 3. Detecting Spam Blogs: An Adaptive Online Approach 4. Detecting spam blogs (beta)
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