Advances in Knowledge Discovery and Data Mining
- Indbinding:
- Paperback
- Sideantal:
- 740
- Udgivet:
- 11. maj 2004
- Størrelse:
- 155x40x235 mm.
- Vægt:
- 1101 g.
- 8-11 hverdage.
- 7. december 2024
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Advances in Knowledge Discovery and Data Mining
ThePaci?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.
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Bogen Advances in Knowledge Discovery and Data Mining findes i følgende kategorier:
- Business og læring > Computer og IT
- Litteratur og litteraturstudier
- Reference, information og tværfaglige emner > Forskning og information: generelt > Informationsteori
- Matematik og naturvidenskab > Matematik > Sandsynlighedsregning og statistik
- Databehandling og informationsteknologi > Grafisk IT og digitale medier
- Databehandling og informationsteknologi > Programmering / softwareudvikling > Algoritmer og datastrukturer
- Databehandling og informationsteknologi > Databaser > Data warehouse
- Databehandling og informationsteknologi > Databaser > Informationssøgning og informationsgenfinding
- Databehandling og informationsteknologi > Informatik > Matematisk datateori > Matematik til informatikfag
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
- Livsstil, hobby og fritid
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