Overview
- High quality selected papers
- Unique visibility
- State of the art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7769)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: PAKDD 2012.
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About this book
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.
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Keywords
Table of contents (12 papers)
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Emerging Trends in Knowledge Discovery and Data Mining
Editors and Affiliations
Bibliographic Information
Book Title: Emerging Trends in Knowledge Discovery and Data Mining
Book Subtitle: PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 -- June 1, 2012, Revised Selected Papers
Editors: Takashi Washio, Jun Luo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-36778-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-36777-9Published: 20 February 2013
eBook ISBN: 978-3-642-36778-6Published: 13 February 2013
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 157
Number of Illustrations: 49 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Health Informatics, Information Storage and Retrieval, Information Systems Applications (incl. Internet)