LEADER 03544nam 22007095 450 001 996465548303316 005 20200702120023.0 010 $a3-540-46027-6 024 7 $a10.1007/3-540-46027-6 035 $a(CKB)1000000000211703 035 $a(SSID)ssj0000321441 035 $a(PQKBManifestationID)11227078 035 $a(PQKBTitleCode)TC0000321441 035 $a(PQKBWorkID)10280928 035 $a(PQKB)10504543 035 $a(DE-He213)978-3-540-46027-5 035 $a(MiAaPQ)EBC3073365 035 $a(PPN)155209949 035 $a(EXLCZ)991000000000211703 100 $a20121227d2002 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAssociation Rule Mining$b[electronic resource] $eModels and Algorithms /$fby Chengqi Zhang, Shichao Zhang 205 $a1st ed. 2002. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2002. 215 $a1 online resource (XII, 244 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2307 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-43533-6 320 $aIncludes bibliographical references and index. 327 $aAssociation Rule -- Negative Association Rule -- Causality in Databases -- Causal Rule Analysis -- Association Rules in Very Large Databases -- Association Rules in Small Databases -- Conclusion and Future Work. 330 $aDue to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining. 410 0$aLecture Notes in Artificial Intelligence ;$v2307 606 $aArtificial intelligence 606 $aDatabase management 606 $aInformation storage and retrieval 606 $aAlgorithms 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aInformation storage and retrieval. 615 0$aAlgorithms. 615 14$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a006.312 700 $aZhang$b Chengqi$4aut$4http://id.loc.gov/vocabulary/relators/aut$0497864 702 $aZhang$b Shichao$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465548303316 996 $aAssociation Rule Mining$92119158 997 $aUNISA