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020 _a9783540247753
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024 7 _a10.1007/b97861
_2doi
050 4 _aQA76.9.D35
050 4 _aQ350-390
072 7 _aUMB
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082 0 4 _a005.73
_223
082 0 4 _a003.54
_223
245 1 0 _aAdvances in Knowledge Discovery and Data Mining
_h[electronic resource] :
_b8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings /
_cedited by Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang.
250 _a1st ed. 2004.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2004.
300 _aXIX, 716 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3056
505 0 _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.
520 _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 inthe area of knowledge discovery and data mining: Philip Yu, Manager of Software Tools and Techniques, IBM T.J.
650 0 _aData structures (Computer science).
650 0 _aInformation theory.
650 0 _aArtificial intelligence.
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval systems.
650 0 _aMultimedia systems.
650 0 _aComputer science
_xMathematics.
650 0 _aMathematical statistics.
650 1 4 _aData Structures and Information Theory.
650 2 4 _aArtificial Intelligence.
650 2 4 _aDatabase Management.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aMultimedia Information Systems.
650 2 4 _aProbability and Statistics in Computer Science.
700 1 _aDai, Honghua.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSrikant, Ramakrishnan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZhang, Chengqi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540220640
776 0 8 _iPrinted edition:
_z9783662215098
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3056
856 4 0 _uhttps://doi.org/10.1007/b97861
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