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020 _a9783319248349
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024 7 _a10.1007/978-3-319-24834-9
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050 4 _aQA76.9.D343
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072 7 _aUNF
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082 0 4 _a006.312
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245 1 0 _aIntelligent Data Engineering and Automated Learning - IDEAL 2015
_h[electronic resource] :
_b16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings /
_cedited by Konrad Jackowski, Robert Burduk, Krzysztof Walkowiak, Michal Wozniak, Hujun Yin.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXX, 560 p. 153 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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490 1 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v9375
505 0 _aEvolutionary algorithms -- Neural networks -- Probabilistic modeling -- Swarm intelligent, multi-objective optimization, and practical applications in regression -- Classification -- Clustering.-Biological data processing -- Text processing -- Video analysis -- Computational intelligence for optimization of communication networks -- Discovering knowledge from data -- Simulation-driven DES-like modeling and performance evaluation -- Intelligent applications in real-world problems.
520 _aThis book constitutes the refereed proceedings of the 16th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2015, held in Wroclaw, Poland, in October 2015. The 64 revised full papers presented were carefully reviewed and selected from 127 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modeling, swarm intelligent, multi-objective optimization, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, IDEAL 2015 also featured a number of special sessions on several emerging topics such as computational intelligence for optimization of communication networks, discovering knowledge fromdata, simulation-driven DES-like modeling and performance evaluation, and intelligent applications in real-world problems.
650 0 _aData mining.
_93907
650 0 _aPattern recognition systems.
_93953
650 0 _aArtificial intelligence.
_93407
650 0 _aAlgorithms.
_93390
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aComputer science.
_99832
650 1 4 _aData Mining and Knowledge Discovery.
_9175013
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aAlgorithms.
_93390
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aTheory of Computation.
_9175014
700 1 _aJackowski, Konrad.
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700 1 _aBurduk, Robert.
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700 1 _aWalkowiak, Krzysztof.
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700 1 _aWozniak, Michal.
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700 1 _aYin, Hujun.
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783319248356
830 0 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
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856 4 0 _uhttps://doi.org/10.1007/978-3-319-24834-9
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