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03139nam a22005775i 4500 |
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978-3-642-24800-9 |
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DE-He213 |
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20170107164238.0 |
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cr nn 008mamaa |
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111024s2011 gw | s |||| 0|eng d |
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|a 9783642248009
|9 978-3-642-24800-9
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|a 10.1007/978-3-642-24800-9
|2 doi
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|d GrThAP
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|a QA76.9.D3
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|a COM021000
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|a 005.74
|2 23
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|a Advances in Intelligent Data Analysis X
|h [electronic resource] :
|b 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings /
|c edited by João Gama, Elizabeth Bradley, Jaakko Hollmén.
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2011.
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| 300 |
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|a XIV, 425 p. 144 illus.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 7014
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| 520 |
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|a This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc.
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| 650 |
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0 |
|a Computer science.
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| 650 |
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0 |
|a Algorithms.
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| 650 |
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0 |
|a Database management.
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| 650 |
|
0 |
|a Data mining.
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| 650 |
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0 |
|a Information storage and retrieval.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
1 |
4 |
|a Computer Science.
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| 650 |
2 |
4 |
|a Database Management.
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| 650 |
2 |
4 |
|a Information Systems Applications (incl. Internet).
|
| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
| 650 |
2 |
4 |
|a Information Storage and Retrieval.
|
| 650 |
2 |
4 |
|a Algorithm Analysis and Problem Complexity.
|
| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
|
| 700 |
1 |
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|a Gama, João.
|e editor.
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| 700 |
1 |
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|a Bradley, Elizabeth.
|e editor.
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| 700 |
1 |
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|a Hollmén, Jaakko.
|e editor.
|
| 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 9783642247996
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| 830 |
|
0 |
|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 7014
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-642-24800-9
|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)
|
