Emerging Trends in Knowledge Discovery and Data Mining
Language: English
Published by Springer Berlin Heidelberg, 2013
- Softcover
- New
Condition: New
£ 39.19
Quantity: Over 20 available
Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. High quality selected papers Unique visibility State of the art researchThis book constitutes the thoroughly refereed proceedings of the PAKDD 2012 International Workshops: Third Workshop on Data Mining for Healthcare Management (DM.
Seller Inventory # 5058395
- Title
- Emerging Trends in Knowledge Discovery and Data Mining
- Author
- Washio, Takashi|Luo, Jun
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2013
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3642367771
- ISBN 13
- 9783642367779
- Dimensions
- 0.9 x 23.5 x 15.5
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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