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020 _a9783540318309
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024 7 _a10.1007/11539506
_2doi
050 4 _aQA76.9.D35
050 4 _aQ350-390
072 7 _aUMB
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082 0 4 _a005.73
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245 1 0 _aFuzzy Systems and Knowledge Discovery
_h[electronic resource] :
_bSecond International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I /
_cedited by Lipo Wang, Yaochu Jin.
250 _a1st ed. 2005.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aXLI, 1334 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
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338 _aonline resource
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3613
505 0 _aFuzzy Theory and Models -- Uncertainty Management in Data Mining -- Uncertainty Management and Probabilistic Methods in Data Mining -- Approximate Reasoning -- Axiomatic Foundation -- Fuzzy Classifiers -- Fuzzy Clustering -- Fuzzy Database Mining and Information Retrieval -- Information Fusion -- Neuro-Fuzzy Systems -- Fuzzy Control -- Fuzzy Hardware -- Knowledge Visualization and Exploration -- Sequential Data Analysis -- Parallel and Distributed Data Mining -- Rough Sets.
520 _aThis book and its sister volume, LNAI 3613 and 3614, constitute the proce- ings of the Second International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2005), jointly held with the First International Conference on Natural Computation (ICNC 2005, LNCS 3610, 3611, and 3612) from - gust 27-29, 2005 in Changsha, Hunan, China. FSKD 2005 successfully attracted 1249 submissions from 32 countries/regions (the joint ICNC-FSKD 2005 received 3136 submissions). After rigorous reviews, 333 high-quality papers, i. e. , 206 long papers and 127 short papers, were included in the FSKD 2005 proceedings, r- resenting an acceptance rate of 26. 7%. The ICNC-FSKD 2005 conference featured the most up-to-date research - sults in computational algorithms inspired from nature, including biological, e- logical, and physical systems. It is an exciting and emerging interdisciplinary area in which a wide range of techniques and methods are being studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cross-fertilization over these exciting and yet closely-related areas, which had a signi?cant impact on the advancement of these important technologies. Speci?c areas included computation with words, fuzzy computation, granular com- tation, neural computation, quantum computation, evolutionary computation, DNA computation, chemical computation, information processing in cells and tissues, molecular computation, arti?cial life, swarm intelligence, ants colony, arti?cial immune systems, etc. , with innovative applications to knowledge d- covery, ?nance, operations research, and more.
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aArtificial intelligence.
_93407
650 0 _aMachine theory.
_990947
650 0 _aComputer science.
_99832
650 0 _aAlgorithms.
_93390
650 0 _aComputer vision.
_990948
650 1 4 _aData Structures and Information Theory.
_931923
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aFormal Languages and Automata Theory.
_990949
650 2 4 _aTheory of Computation.
_990950
650 2 4 _aAlgorithms.
_93390
650 2 4 _aComputer Vision.
_990951
700 1 _aWang, Lipo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_990952
700 1 _aJin, Yaochu.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_990953
710 2 _aSpringerLink (Online service)
_990954
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540283126
776 0 8 _iPrinted edition:
_z9783540814276
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3613
_990955
856 4 0 _uhttps://doi.org/10.1007/11539506
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