Data Mining and Knowledge Discovery Handbook, 2 Edition part 58

Data Mining and Knowledge Discovery Handbook, 2 Edition part 58. Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data. Data Mining and Knowledge Discovery Handbook, 2nd Edition organizes the most current concepts, theories, standards, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery. | 550 Petr Hajek Brin S. Motwani R. and C. Silverstein. Beyond market baskets Generalizing association rules to correlations . http Chen G. Wei Q. and E. E. Kerre. Fuzzy logic approaches for the mining of association rules an overview . In Data Mining and knowledge discovery approaches based on rule induction techniques Triantaphyllou E. et al. ed. Kluwer 2003 Dehaspe L. and H. Toivonen. Discovery of frequent Datalog patterns. Data Mining and knowledge discovery 1999 3 7-36. DZeroski S. and N. Lavrac. Relational data mining. Springer 2001 Ebbinghaus H. D. Flum J. and W. Thomas. Mathematical logic. Springer 1984. Giudici P Data Mining model comparison Statistical models for Data Mining . Chapter This volume. Glymour C. Madigan D. Pregibon D. and P Smyth. Statistical themes and lessons for Data Mining. Data Mining and knowledge discovery 1996 1 25-42. Hajek P The GUHA method and mining association rules. Proc. CIMA 2001 Bangor Wales 533-539. Hajek P The new version of the GUHA procedure ASSOC COMPSTAT 1984 360-365. Hajek P Generalized quantifiers finite sets and Data Mining . In Klopotek et al. ed. Intelligent Information Processing and Web Mining. Springer 2003 489-496. Hajek P. Havel I. and M. Chytil. The GUHA method of automatic hypotheses determination Computing 1966 1 293-308. Hajek P. and T. Havranek. Mechanizing Hypothesis Formation Mathematical Foundations for a General Theory Springer-Verlag 1978 396 pp. Hajek P and T. Havranek. Mechanizing Hypothesis Formation Mathematical Foundations for a General Theory . Internet edition freely accessible http hajek guhabook Hajek P and M. Holena. Formal logics of discovery and hypotheses formation by machine . Theor. Comp. Sci. 2003 299 245-357. Hajek P. Holena M. and J. Rauch. The GUHA method and foundations of relational data mining. In de Swart et al. ed. Theory and applications of relational structures as knowledge instruments. Lecture Notes in Computer .