Top KDD references from the last 4 years

Here are the top references with at least 20 citations (combined) from KDD-2008, KDD-2009, KDD-2010, KDD-2011

Total Citations	Reference
51	David M. Blei, Andrew Y. Ng, and Michael I. Jordan. (2003). "Latent Dirichlet Allocation." In: The Journal of Machine Learning Research, 3. doi:10.1162/jmlr.2003.3.4-5.993
33	Chih-Chung Chang, and Chih-Jen Lin. (2001). LIBSVM: a library for support vector machines. Technical Report.
26	Arthur Asuncion and David J. Newman 2007 UCI Machine Learning Repository . Irvine, CA: University of California, School of Information and Computer Science.
23	Trevor Hastie, Robert Tibshirani, and Jerome H. Friedman. (2001). The Elements of Statistical Learning: Data Mining, Inference, and Prediction; 1st edition. Springer-Verlag. ISBN 0387952845
22	Jon Kleinberg. (1999). Authoritative Sources in a Hyperlinked Environment. In: Journal of the ACM (JACM), 46(5) doi:10.1145/324133.324140
21	Thomas L. Griffiths, and Mark Steyvers. (2004). Finding Scientific Topics. In: Proceedings of the National Academy of Sciences (PNAS), 101(Suppl. 1). doi:10.1073/pnas.0307752101
20	David Kempe, Jon M. Kleinberg, Éva Tardos, Maximizing the spread of influence through a social network. In: Proceedings of the ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2003, Washington, D.C. doi:10.1145/956750.956769
20	Ian H. Witten and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2005.

The full results are at

www.gabormelli.com/RKB/KDD_References_Analysis_Report