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Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I / / edited by Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava



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Titolo: Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I / / edited by Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011
Edizione: 1st ed. 2011.
Descrizione fisica: 1 online resource (XXIV, 564 p.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Application software
Information storage and retrieval
Database management
Algorithms
Computer communication systems
Artificial Intelligence
Information Systems Applications (incl. Internet)
Information Storage and Retrieval
Database Management
Algorithm Analysis and Problem Complexity
Computer Communication Networks
Persona (resp. second.): HuangJoshua Zhexue
CaoLongbing
SrivastavaJaideep
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knoweldge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.
Titolo autorizzato: Advances in Knowledge Discovery and Data Mining  Visualizza cluster
ISBN: 3-642-20841-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465376103316
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Serie: Lecture Notes in Artificial Intelligence ; ; 6634