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| Titolo: |
Emerging Trends in Knowledge Discovery and Data Mining [[electronic resource] ] : 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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| 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 | |
| Health 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 ![]() |
| ISBN: | 3-642-36778-X |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996465674003316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |