York University: EECS-6412, Data Mining Fall 2019

Supplementary Reading

EECS-6412

Fall 2019

York University

Introduction to Data Mining

M.-S.Chen, J. Han, and P. S. Yu. Data mining: an overview from a database perspective. IEEE Trans. On Knowledge And Data Engineering, 8:866-883, 1996.
U.M. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. From data mining to knowledge discovery: an overview. In U.M. Fayyad et al. ed. Advances in Knowledge Discovery and Data Mining, AAAI/MIT, 1996, 1-34.

Association Rule Mining

R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proc. of VDB, 1994.
J. Han, J. Pei, and Y. Yin. Mining frequent patterns without candidate generation: A Frequent-Pattern Tree Approach. Data Mining and Knowledge Discovery, 8, 53-87, 2004.

Sequential Pattern Mining

Ramakrishnan Srikant, Rakesh Agrawal Mining Sequential Patterns: Generalizations And Performance Improvements. Proc. 5th Int. Conf. Extending Database Technology, EDBT'96.
J. Pei et al. Mining Sequential Patterns by Pattern-growth: The PrefixSpan Approach. IEEE Transactions on Knowledge and Data Engineering. Vol.16,, No.11, 2004.

Decision Tree Learning

J. Ross Quinlan, C4.5 Programs for Machine Learning, Morgan Kaufmann, 1993.
Tom Mitchell, Machine Learning, McGraw-Hill, 1997 pp. 52-81.
J. Ross Quinlan, Simplifying decision trees, International Journal of Man-Machine Studies, 27, 221-234, 1987.
An introduction to ID3 and C4.5

Discretization

Randy Kerber, ChiMerge: Discretization of Numeric Attributes, Proceedings of AAAI'92, 1992.
Usama M. Fayyad and Keki B. Irani, Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning, Machine Learning, IJCAI-93, 1022-1027.

Decision Rule Learning

A. An. Learning classification rules from data. Computers and Mathematics with Applications, Vol.45, No.4-5. pp.737-748.