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010   $a3-540-45372-5
024 7 $a10.1007/3-540-45372-5
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035   $a(PQKBTitleCode)TC0000325831
035   $a(PQKBWorkID)10253543
035   $a(PQKB)11318779
035   $a(DE-He213)978-3-540-45372-7
035   $a(MiAaPQ)EBC3072340
035   $a(PPN)155177877
035   $a(BIP)13638483
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100   $a20121227d2000      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aPrinciples of Data Mining and Knowledge Discovery $e4th European Conference, PKDD, 2000, Lyon, France, September 13-16, 2000 Proceedings /$fedited by Djamel A. Zighed, Jan Komorowski, Jan Zytkow
205   $a1st ed. 2000.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2000.
215   $a1 online resource (XV, 701 p.)
225 1 $aLecture Notes in Artificial Intelligence ;$v1910
300   $aBibliographic Level Mode of Issuance: Monograph
311 08$a3-540-41066-X 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aTowards Broader Foundations -- Rules and Trees -- Databases and Reward-Based Learning -- Classication -- Association Rules and Exceptions -- Instance-Based Discovery -- Clustering and Classification -- Time Series -- Posters.
330   $aThis book constitutes the refereed proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000, held in Lyon, France in September 2000. The 86 revised papers included in the book correspond to the 29 oral presentations and 57 posters presented at the conference. They were carefully reviewed and selected from 147 submissions. The book offers topical sections on new directions, rules and trees, databases and reward-based learning, classification, association rules and exceptions, instance-based discovery, clustering, and time series analysis.
410  0$aLecture Notes in Artificial Intelligence ;$v1910
606   $aArtificial intelligence
606   $aData structures (Computer science)
606   $aComputer science
606   $aInformation storage and retrieval
606   $aApplication software
606   $aComputer science?Mathematics
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009
606   $aPopular Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/Q23000
606   $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032
606   $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040
606   $aSymbolic and Algebraic Manipulation$3https://scigraph.springernature.com/ontologies/product-market-codes/I17052
615  0$aArtificial intelligence.
615  0$aData structures (Computer science)
615  0$aComputer science.
615  0$aInformation storage and retrieval.
615  0$aApplication software.
615  0$aComputer science?Mathematics.
615 14$aArtificial Intelligence.
615 24$aData Structures and Information Theory.
615 24$aPopular Computer Science.
615 24$aInformation Storage and Retrieval.
615 24$aInformation Systems Applications (incl. Internet).
615 24$aSymbolic and Algebraic Manipulation.
676   $a006.3
702   $aZighed$b Djamel A$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aKomorowski$b J$g(Jan),$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aZytkow$b Jan$4edt$4http://id.loc.gov/vocabulary/relators/edt
712 12$aPKDD 2000
906   $aBOOK
912   $a9910143619003321
996   $aPrinciples of data mining and knowledge discovery$9415802
997   $aUNINA