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130901 ||| eng |
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|a 9783642403194
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|a Li, Jiuyong
|e [editor]
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|a Trends and Applications in Knowledge Discovery and Data Mining
|h Elektronische Ressource
|b PAKDD 2013 Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Golden Coast, QLD, Australia, Revised Selected Papers
|c edited by Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng
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|a 1st ed. 2013
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2013, 2013
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300 |
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|a XVIII, 556 p. 152 illus
|b online resource
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|a Data Mining Applications in Industry and Government.- Data Analytics for Targeted Healthcare.- Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models -- Biological Inspired Techniques for Data Mining -- Constraint Discovery and Cloud Service Discovery
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653 |
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|a Health Informatics
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653 |
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|a Medical informatics
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653 |
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|a Information Storage and Retrieval
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653 |
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|a Artificial Intelligence
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653 |
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|a Data mining
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653 |
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|a Application software
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653 |
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|a Information storage and retrieval systems
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653 |
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|a Artificial intelligence
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653 |
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|a Data Mining and Knowledge Discovery
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653 |
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|a Computer and Information Systems Applications
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700 |
1 |
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|a Cao, Longbing
|e [editor]
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700 |
1 |
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|a Wang, Can
|e [editor]
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700 |
1 |
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|a Tan, Kay Chen
|e [editor]
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041 |
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7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
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|a Lecture Notes in Artificial Intelligence
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028 |
5 |
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|a 10.1007/978-3-642-40319-4
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856 |
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|u https://doi.org/10.1007/978-3-642-40319-4?nosfx=y
|x Verlag
|3 Volltext
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|a 006.312
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|a This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013. The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD)
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