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020 _a9783540318286
_9978-3-540-31828-6
024 7 _a10.1007/11540007
_2doi
050 4 _aQA75.5-76.95
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aUYA
_2thema
082 0 4 _a004.0151
_223
245 1 0 _aFuzzy Systems and Knowledge Discovery
_h[electronic resource] :
_bSecond International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II /
_cedited by Lipo Wang, Yaochu Jin.
250 _a1st ed. 2005.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aL, 1312 p.
_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 Artificial Intelligence,
_x2945-9141 ;
_v3614
505 0 _aDimensionality Reduction -- Pattern Recognition and Trend Analysis -- Other Topics in FSKD Methods -- Mining of Spatial, Textual, Image and Time-Series Data -- Fuzzy Systems in Bioinformatics and Bio-medical Engineering -- Fuzzy Systems in Expert System and Informatics -- Fuzzy Systems in Pattern Recognition and Diagnostics -- Knowledge Discovery in Bioinformatics and Bio-medical Engineering -- Knowledge Discovery in Expert System and Informatics -- Active Information Gathering on the Web -- Neural and Fuzzy Computation in Cognitive Computer Vision -- Erratum.
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 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aMachine theory.
650 0 _aAlgorithms.
650 0 _aComputer vision.
650 1 4 _aTheory of Computation.
650 2 4 _aArtificial Intelligence.
650 2 4 _aFormal Languages and Automata Theory.
650 2 4 _aAlgorithms.
650 2 4 _aComputer Vision.
700 1 _aWang, Lipo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aJin, Yaochu.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540283317
776 0 8 _iPrinted edition:
_z9783540814344
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3614
856 4 0 _uhttps://doi.org/10.1007/11540007
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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