Winter Semester 2009/10
Winter Semester 2010/11
Data Mining PI_SO1103
Course content:
1. Introduction to data mining
2. Association rules
3-4. Classification methods
5-6. Clustering
7. Mining sequential patterns
8. Mining of text data
Learning outcomes:
Student should know, what kind of tool should be used in a given data mining problem
(in Polish) Rodzaj przedmiotu
Course coordinators
Bibliography
a) basic references:
U. Fayyad, G. Piatetsky-Shapiro, [eds.], Advances in Knowledge Discovery and Data Mining, MIT Press, 1996
D.T. Larose "Odkrywanie wiedzy z danych - wprowadzenie do eksploracji danych", PWN, 2006
D. Hand, H Mannila, P. Smyth "Eksploracja danych", WNT, 2005
P. Cichosz, Systemy uczace sie, WNT, 2000
Cios K.J., Pedrycz W., Swinarski R.W., Data mining methods for knowledge discovery, Dordrecht, Kluwer, 1999
T. Mitchell, Machine learning. McGraw Hill, 1997
K. Jajuga, Wielowymiarowa analiza statystyczna, PWN, Warszawa, 1990
b) supplementary references:
A. K. Jain, R. C. Dubes, Algorithms for Clustering Data, Prentice Hall, 1988
J. Han, M. Kamber, Data mining: Concepts and techniques, San Francisco, Morgan Kaufmann, 2000.