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[null,"1.","Record Nr.",null,"UNINA9910768468903321"]
[null,null,"Titolo",null,"Advances in Knowledge Discovery and Data Mining : 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings / / edited by Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004"]
[null,null,"ISBN",null,"1-280-30807-9"]
[{"$nulls":4},"9786610308071"]
[{"$nulls":4},"3-540-24775-0"]
[null,null,"Edizione",null,"[1st ed. 2004.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIX, 716 p.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 3056"]
[null,null,"Disciplina",null,"005.74"]
[null,null,"Soggetti",null,"Data structures (Computer science)"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Information storage and retrieval"]
[{"$nulls":4},"Multimedia systems"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Data Structures and Information Theory"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Multimedia Information Systems"]
[{"$nulls":4},"Probability and Statistics in Computer Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Invited Speeches -- Session 1A: Classification (I) -- Session 1B: Clustering (I) -- Session 1C: Association Rules (I) -- Session 2A: Novel Algorithms (I) -- Session 2B: Association (II) -- Session 2C: Classification (II) -- Session 3A: Event Mining, Anomaly Detection, and Intrusion Detection -- Session 3B: Ensemble Learning -- Session 3C: Bayesian Network and Graph Mining -- Session 3D: Text Mining (I) -- Session 4A: Clustering (II) -- Session 4B: Association (III) -- Session 4C: Novel Algorithms (II) -- Session 4D: Multimedia Mining -- Session 5A: Text Mining and Web Mining (II) -- Session 5B: Statistical Methods, "]
[{"$nulls":4},"Sequential Data Mining, and Time Series Mining -- Session 5C: Novel Algorithms (III) -- Session 5D: Biomedical Mining."]
[null,null,null,"Sommario/riassunto","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 in the area of knowledge discovery and data mining: Philip Yu, Manager of Software Tools and Techniques, IBM T.J."]