Vorlesung Datenbanksysteme

Pyle; Data Preparation for Data Mining, Morgan Kaufmann, 1999
K. Morik; S. Wrobel; T. Joachims: "Maschinelles Lernen und Data Mining" Beitrag zum »Handbuch KI«, das, herausgegeben von G. Görz, J. Schneeberger und C.-R. Rollinger, im Oldenbourg Verlag. ( Download PDF from Univ. Dortmund)
Witten; Frank; Practical Machine Learning Tools and Techniques with Java implementations, Morgan Kaufmann, 2000
Berry; Linoff; Mastering Data Mining: The Art and Science of Customer Relationship Management, John Wiley, 2000.
Schinzer; Bange; Mertens; Data Warehouse und Data Mining: Marktführende Produkte im Vergleich, Vahlen, 1999

Klassifikationsverfahren:

R. Quinlan: „C4.5: Programms for Machine Learning“, Morgan Kaufmann, 1993.
L. Breiman; J.H. Friedman; R.A. Olshen; C.J. Stone: „Classification and regression trees“, Belmont, 1984.
William W. Cohen. Fast effective rule induction. In Proceedings of the Twelfth International Conference on Machine Learning, Lake Tahoe, California, 1995. ( Download ps from William Cohen’s Homepage).
T. Joachims, „Making large-Scale SVM Learning Practical“, In: Advances in Kernel Methods - Support Vector Learning, B. Schölkopf; C. Burges; A. Smola (ed.), MIT-Press, 1999. ( Download ps.gz from Univ. Dortmund).
V. N. Vapnik, „Statistical Learning Theory“, Wiley, 1998.
C. M. Bishop: „Neuronal Networks for Pattern Recognition“ Clarendon Press, 1995.

Assoziationsreglen:

R. Agrawal, R. Srikant: „Fast algorithms for mining association rules“, In: Proc. of the 20st Int. Conf. Very Large Data Bases, {VLDB}, Morgan Kaufmann, 1994. ( Download ps from IBM)
R. Agrawal, R. Srikant: „Mining Sequential Patterns“, In: Proc. of the 11th Int. Conf. Data Engineering, {ICDE}, Taipei, Taiwan, 1995.(Download ps from IBM)
R. Srikant, R.Agrawal: „Mining Generalized Association Rules“, In: Proc. of the 21st Int. Conf. Very Large Data Bases, {VLDB}, Morgan Kaufmann, 1995.( Download ps from IBM)

Clustering:

The Autoclass Home Page
J. H. Gennari, P. Langley, and D. Fisher.: "Models of incremental concept formation.", Artificial Intelligence, (40):11-61, 1989.

Subgruppenendeckung:

S. Wrobel, "An algorithm for multi-relational discovery of subgroups", In: J. Komorowski; J. Zytkow (ed), Principles of Data Mining and Knowledge Discovery: First European Symposium (PKDD'97), Springer Verlag, 1997.

Feature Selection (Preprocessing):

Liu; Motoda; Feature Selection for Knowledge Discovery and Databases, Kluwer, 1998