Fayyad, Usama M 　著

内容

目次

From data mining to knowledge discovery: an overview, Usama M. Fayyadetal. Part 1 Foundations: The process of knowledge discovery in databases: ahuman-centred approach, Ronald J. Brachman and Tej Anand; Graphical modelsfor discovering knowledge, Wray Buntine; A statistical perspective onknowledge discovery in databases, John Elder IV and Daryl Pregibon. Part 2Classification and clustering: Inductive logic programming and knowledgediscovery in databases, Saso Dzeroski; Bayesian classification (autoclass):theory and results, Peter Cheeseman and John Stutz; Discovering informativepatterns and data cleaning, Isabelle Guyon et al; Transforming rules andtrees into comprehensive structures, Brian R. Gaines. Part 3 Trend anddeviation analysis: Finding patterns in time series: a dynamic programmingapproach, Donald J. Berndt and James Clifford; explore: a multipattern andmultistrategy discovery assistant, Willi Klosgen. Part 4 Dependencyderivation: Bayesian networks for knowledge discovery, David Heckerman; Fastdiscovery of association rules, Rakesh Agrawal et al; From contingency tablesto variation forms of knowledge in databases, Robert Zembowicz and Jan M.Zytkow. Part 5 Integrated discovery systems: Integrating inductive anddeductive reasoning for data mining, Evangelos Simoudis, et al; Metaqueriesfor data mining, Wei-Min Shen et al; exploration of the power ofattribute-oriented induction in data mining, Jiawei Han and Yongjian Fu. Part6 Next generation database systems: Using inductive learning to generaterules for semantic query optimization, Chun-Nan Hsu and Craig A. Knoblock;Data surveyor: searching the nuggets in parallel, Marcel Holsheimer, et al.Part 7 Automating the analysis and cataloguing of sky surveys, Usama M.Fayyad et al; Selecting and reporting what is interesting: the KEFIRapplication to healthcare data, Christopher J. Matheus; Modeling subjectiveuncertainty in image annotation, Padhraic Smyth et al; Predicting equityreturns from securities data with minimal rule generation, Chidanand Apte andSe June Hong; From data mining to knowledge discovery: current challenges andfuture directions, Ramasamy Uthurusamy. Appendices: Knowledge discovery indatabases terminology; data mining, and knowledge discovery Internetresources, Gregory Piatetsky-Shapiro.