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Emerging Trends in Knowledge Discovery and Data Mining : PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 -- June 1, 2012, Revised Selected Papers / / edited by Takashi Washio, Jun Luo



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Titolo: Emerging Trends in Knowledge Discovery and Data Mining : PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 -- June 1, 2012, Revised Selected Papers / / edited by Takashi Washio, Jun Luo Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (XII, 157 p. 49 illus.)
Disciplina: 006.312
Soggetto topico: Data mining
Artificial intelligence
Medical informatics
Information storage and retrieval
Application software
Data Mining and Knowledge Discovery
Artificial Intelligence
Health Informatics
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Classificazione: DAT 703f
DAT 825f
SS 4800
Persona (resp. second.): WashioTakashi
LuoJun
Note generali: Includes author index.
Nota di bibliografia: Includes bibliographical references and author index.
Sommario/riassunto: This book constitutes the thoroughly refereed proceedings of the PAKDD 2012 International Workshops: Third Workshop on Data Mining for Healthcare Management (DMHM 2012), First Workshop on Geospatial Information and Documents (GeoDoc 2012), First Workshop on Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (3Clust 2012), and the Second Doctoral Symposium on Data Mining (DSDM 2012); held in conjunction with the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), in Kuala Lumpur, Malaysia, May/June 2012. The 12 revised papers presented were carefully reviewed and selected from numerous submissions. DMHM 2012 aimed at providing a common platform for the discussion of challenging issues and potential techniques in this emerging field of data mining for health care management; 3Clust 2012 focused on solving emerging problems such as clustering ensembles, semi-supervised clustering, subspace/projective clustering, co-clustering, and multi-view clustering; GeoDoc 2012 highlighted the formalization of geospatial concepts and relationships with a focus on the extraction of geospatial relations in free text datasets to offer to the database community a unified framework for geodata discovery; and DSDM 2012 provided the opportunity for Ph.D. students and junior researchers to discuss their work on data mining foundations, techniques and applications.
Titolo autorizzato: Emerging Trends in Knowledge Discovery and Data Mining  Visualizza cluster
ISBN: 3-642-36778-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484905903321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Artificial Intelligence ; ; 7769