000			03882nam a22006375i 4500
001			978-3-319-24834-9
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008			151013s2015 gw | s |||| 0|eng d
020			_a9783319248349 _9978-3-319-24834-9
024	7		_a10.1007/978-3-319-24834-9 _2doi
050		4	_aQA76.9.D343
072		7	_aUNF _2bicssc
072		7	_aUYQE _2bicssc
072		7	_aCOM021030 _2bisacsh
082	0	4	_a006.312 _223
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.
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 _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x0302-9743 ; _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 from data, simulation-driven DES-like modeling and performance evaluation, and intelligent applications in real-world problems.
650		0	_aComputer science.
650		0	_aComputers.
650		0	_aAlgorithms.
650		0	_aData mining.
650		0	_aInformation storage and retrieval.
650		0	_aArtificial intelligence.
650		0	_aPattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aPattern Recognition.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aAlgorithm Analysis and Problem Complexity.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aComputation by Abstract Devices.
700	1		_aJackowski, Konrad. _eeditor.
700	1		_aBurduk, Robert. _eeditor.
700	1		_aWalkowiak, Krzysztof. _eeditor.
700	1		_aWozniak, Michal. _eeditor.
700	1		_aYin, Hujun. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319248332
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v9375
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-24834-9
912			_aZDB-2-SCS
912			_aZDB-2-LNC
942			_cEBK
999			_c52547 _d52547