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978-3-642-36778-6 |
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20151103122726.0 |
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130217s2013 gw | s |||| 0|eng d |
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|a 9783642367786
|9 978-3-642-36778-6
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|a 10.1007/978-3-642-36778-6
|2 doi
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|a QA76.9.D343
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|a Emerging Trends in Knowledge Discovery and Data Mining
|h [electronic resource] :
|b PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 – June 1, 2012, Revised Selected Papers /
|c edited by Takashi Washio, Jun Luo.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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|a XII, 157 p. 49 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 7769
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| 520 |
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|a 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.
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| 650 |
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|a Computer science.
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|a Health informatics.
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| 650 |
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|a Data mining.
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|a Information storage and retrieval.
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|a Artificial intelligence.
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4 |
|a Computer Science.
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| 650 |
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|a Data Mining and Knowledge Discovery.
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| 650 |
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|a Artificial Intelligence (incl. Robotics).
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| 650 |
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|a Health Informatics.
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| 650 |
2 |
4 |
|a Information Storage and Retrieval.
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| 650 |
2 |
4 |
|a Information Systems Applications (incl. Internet).
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| 700 |
1 |
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|a Washio, Takashi.
|e editor.
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| 700 |
1 |
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|a Luo, Jun.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642367779
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| 830 |
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0 |
|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 7769
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-642-36778-6
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (Springer-11645)
|
