Data Mining and Machine Learning Papers

Below are select papers on a variety of topics. The list is not meant to be exhaustive. The papers found on this page either relate to my research interests of are used when I teach courses on machine learning or data mining.

• General (articles)
  • Data Mining and Statistics: What's the Connection?
  • Data Mining: Statistics and More?, D. Hand, American Statistician, 52(2):112-118.
  • From Data Mining to Knowledge Discovery in Databases, U. Fayyad, G. Piatesky-Shapiro & P. Smyth, AI Magazine, 17(3):37-54, Fall 1996.
  • Mining Business Databases, Communications of the ACM, 39(11): 42-48.

• General (short news articles)
  • The Long Tail, by Anderson, C., Wired magazine.
  • AOL's Disturbing Glimpse Into Users' Lives, by McCullagh, D., News.com, August 9, 2006

• Data Mining Methods and Algorithms
  • Induction of Decision Trees, R. Quinlan, Machine Learning, 1(1):81-106, 1986.

• Active Learning
  • Improving Generalization with Active Learning, D Cohn, L. Atlas, and R. Ladner, Machine Learning 15(2), 201-221, May 1994.
  • On Active Learning for Data Acquisition, Z. Zheng and B. Padmanabhan, In Proc. of IEEE Intl. Conf. on Data Mining, 2002.
  • Active Sampling for Class Probability Estimation and Ranking, M. Saar-Tsechansky and F. Provost, Machine Learning 54:2 2004, 153-178.
  • The Learning-Curve Sampling Method Applied to Model-Based Clustering, C. Meek, B. Thiesson, and D. Heckerman, Journal of Machine Learning Research 2:397-418, 2002.
  • Active Sampling for Feature Selection, S. Veeramachaneni and P. Avesani, Third IEEE Conference on Data Mining, 2003.
  • Heterogeneous Uncertainty Sampling for Supervised Learning, D. Lewis and J. Catlett, In Proceedings of the 11th International Conference on Machine Learning, 148-156, 1994.
  • Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction, G. Weiss and F. Provost, Journal of Artificial Intelligence Research, 19:315-354, 2003.
  • Active Learning using Adaptive Resampling, KDD 2000, 91-98.

• Cost-Sensitive Learning
  • Types of Cost in Inductive Concept Learning, P. Turney, In Proceedings Workshop on Cost-Sensitive Learning at the Seventeenth International Conference on Machine Learning.
  • Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection, P. Chan and S. Stolfo, KDD 1998.
• Videos on Data Mining of Personal Records
  • A CNBC video called Big Brother, Big Business available from Utube. Another similar video, Is Big Business The Real Big Brother made by the BBC.