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Top KDD references from the last 4 years


 
  
Gabor Melli analysis of KDD conference papers and what were most common citations.


Gabor Melli RKB Gabor Melli has done an interesting analysis of papers from the past KDD conferences and what were the most common citations/

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, √Čva 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


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