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
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Author
Contributions
- Luo, Jun - Contributor
- SpringerLink (Online service) - Contributor
Publication
2013 - Springer Berlin Heidelberg, Berlin, Heidelberg, Germany
Language
English
Word Count
39,250 words, Guess
Page Count
157 pages
Physical Format
Electronic resource
Identifiers
- Internet Archiveemergingtrendskn00glvi
- ISBN-139783642367786
- ISBN-10364236778X
- Better World Books9783642367786
- Open LibraryOL27035906M
Classifications
- DDC006.312
- LCCQA76.9.D343
Description
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.
Subjects
Topics
Series Statement
- Lecture Notes in Computer Science -- 7769
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