LEADER 06300nam 22008535 450 001 996465581003316 005 20200629201953.0 010 $a1-280-30807-9 010 $a9786610308071 010 $a3-540-24775-0 024 7 $a10.1007/b97861 035 $a(CKB)1000000000212380 035 $a(DE-He213)978-3-540-24775-3 035 $a(SSID)ssj0000098864 035 $a(PQKBManifestationID)11113878 035 $a(PQKBTitleCode)TC0000098864 035 $a(PQKBWorkID)10134467 035 $a(PQKB)11706858 035 $a(MiAaPQ)EBC3089009 035 $a(PPN)155229729 035 $a(EXLCZ)991000000000212380 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Knowledge Discovery and Data Mining$b[electronic resource] $e8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings /$fedited by Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (XIX, 716 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v3056 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-22064-X 320 $aIncludes bibliographical references and index. 327 $aInvited Speeches -- Session 1A: Classification (I) -- Session 1B: Clustering (I) -- Session 1C: Association Rules (I) -- Session 2A: Novel Algorithms (I) -- Session 2B: Association (II) -- Session 2C: Classification (II) -- Session 3A: Event Mining, Anomaly Detection, and Intrusion Detection -- Session 3B: Ensemble Learning -- Session 3C: Bayesian Network and Graph Mining -- Session 3D: Text Mining (I) -- Session 4A: Clustering (II) -- Session 4B: Association (III) -- Session 4C: Novel Algorithms (II) -- Session 4D: Multimedia Mining -- Session 5A: Text Mining and Web Mining (II) -- Session 5B: Statistical Methods, Sequential Data Mining, and Time Series Mining -- Session 5C: Novel Algorithms (III) -- Session 5D: Biomedical Mining. 330 $aThePaci?c-AsiaConferenceonKnowledgeDiscoveryandDataMining(PAKDD) has been held every year since 1997. This year, the eighth in the series (PAKDD 2004) was held at Carlton Crest Hotel, Sydney, Australia, 26?28 May 2004. PAKDD is a leading international conference in the area of data mining. It p- vides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scienti?c discovery, data visualization, causal induction, and knowledge-based systems. The selection process this year was extremely competitive. We received 238 researchpapersfrom23countries,whichisthehighestinthehistoryofPAKDD, and re?ects the recognition of and interest in this conference. Each submitted research paper was reviewed by three members of the program committee. F- lowing this independent review, there were discussions among the reviewers, and when necessary, additional reviews from other experts were requested. A total of 50 papers were selected as full papers (21%), and another 31 were selected as short papers (13%), yielding a combined acceptance rate of approximately 34%. The conference accommodated both research papers presenting original - vestigation results and industrial papers reporting real data mining applications andsystemdevelopmentexperience.Theconferencealsoincludedthreetutorials on key technologies of knowledge discovery and data mining, and one workshop focusing on speci?c new challenges and emerging issues of knowledge discovery anddatamining.ThePAKDD2004programwasfurtherenhancedwithkeynote speeches by two outstanding researchers in the area of knowledge discovery and data mining: Philip Yu, Manager of Software Tools and Techniques, IBM T.J. 410 0$aLecture Notes in Artificial Intelligence ;$v3056 606 $aData structures (Computer science) 606 $aArtificial intelligence 606 $aDatabase management 606 $aInformation storage and retrieval 606 $aMultimedia information systems 606 $aMathematical statistics 606 $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009 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 $aMultimedia Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I18059 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 615 0$aData structures (Computer science). 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aInformation storage and retrieval. 615 0$aMultimedia information systems. 615 0$aMathematical statistics. 615 14$aData Structures and Information Theory. 615 24$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aMultimedia Information Systems. 615 24$aProbability and Statistics in Computer Science. 676 $a005.74 702 $aDai$b Honghua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSrikant$b Ramakrishnan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Chengqi$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aPacific-Asia Conference on Knowledge Discovery and Data Mining 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465581003316 996 $aAdvances in Knowledge Discovery and Data Mining$9772012 997 $aUNISA