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Advances in knowledge discovery and data mining : 8th Pacific-Asia conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004 : proceedings / Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang, (eds.).

By: (8th : Pacific-Asia Conference on Knowledge Discovery and Data Mining (8th : 2004 : Sydney, N.S.W.)Contributor(s): Dai, Honghua | Srikant, Ramakrishnan | Zhang, Chengqi, 1957-Material type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 3056. | Lecture notes in computer science. Lecture notes in artificial intelligence.Publication details: Berlin ; New York : Springer, ©2004. Description: 1 online resource (xix, 713 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 3540247750; 9783540247753Subject(s): Database management -- Congresses | Database searching -- Congresses | Data mining -- Congresses | Bases de données -- Gestion -- Congrès | Bases de données -- Interrogation -- Congrès | Exploration de données (Informatique) -- Congrès | COMPUTERS -- Desktop Applications -- Databases | COMPUTERS -- Database Management -- General | COMPUTERS -- System Administration -- Storage & Retrieval | Data mining | Database management | Database searching | Data Mining | Wissensextraktion | Exploration de données | Gestion des bases de données | Repérage de l'information | Règle d'association (Logique) | Classification hiérarchique | Base de données | Knowledge discovery | Data mining | PAKDDGenre/Form: Electronic books. | Conference papers and proceedings. | Kongress. | Sydney (2004) Additional physical formats: Print version:: Advances in knowledge discovery and data mining.DDC classification: 005.74 LOC classification: QA76.9.D3 | P17 2004Other classification: SS 4800 | ST 530 | DAT 825f | DAT 620f | DAT 703f Online resources: Click here to access online
Contents:
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, Sequential Data Mining, and Time Series Mining -- Session 5C: Novel Algorithms (III) -- Session 5D: Biomedical Mining.
Summary: This book constitutes the refereed proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data mining, PAKDD 2004, held in Sydney, Australia in May 2004. The 50 revised full papers and 31 revised short papers presented were carefully reviewed and selected from a total of 238 submissions. The papers are organized in topical sections on classification; clustering; association rules; novel algorithms; event mining, anomaly detection, and intrusion detection; ensemble learning; Bayesian network and graph mining; text mining; multimedia mining; text mining and Web mining; statistical methods, sequential data mining, and time series mining; and biomedical data mining.
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Includes bibliographical references and index.

This book constitutes the refereed proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data mining, PAKDD 2004, held in Sydney, Australia in May 2004. The 50 revised full papers and 31 revised short papers presented were carefully reviewed and selected from a total of 238 submissions. The papers are organized in topical sections on classification; clustering; association rules; novel algorithms; event mining, anomaly detection, and intrusion detection; ensemble learning; Bayesian network and graph mining; text mining; multimedia mining; text mining and Web mining; statistical methods, sequential data mining, and time series mining; and biomedical data mining.

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, Sequential Data Mining, and Time Series Mining -- Session 5C: Novel Algorithms (III) -- Session 5D: Biomedical Mining.

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