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024 7 _a10.1007/978-3-319-39627-9
_2doi
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072 7 _aTEC009000
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245 1 0 _aIntelligent Decision Technologies 2016
_h[electronic resource] :
_bProceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) – Part II /
_cedited by Ireneusz Czarnowski, Alfonso Mateos Caballero, Robert J. Howlett, Lakhmi C. Jain.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXVI, 480 p. 135 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aSmart Innovation, Systems and Technologies,
_x2190-3026 ;
_v57
505 0 _aIntelligent Data Analysis and Applications -- Intelligent Decision Making for Uncertain Unstructured Big Data -- Reasoning-based Intelligent Systems -- Recent Advances in Fuzzy Systems -- Intelligent Methods for Eye Movement Data Processing and Analysis -- Intelligent Decision Technologies for Water Resources Management -- Decision Making Theory for Economics -- Interdisciplinary Approaches in Business Intelligence Research and Practice.-Pattern Recognition in Audio and Speech Processing.
520 _aThe KES-IDT-2016 proceedings give an excellent insight into recent research, both theoretical and applied, in the field of intelligent decision making. The range of topics explored is wide, and covers methods of grouping, classification, prediction, decision support, modelling and many more in such areas as finance, linguistics, medicine, management and transportation. This proceedings contain several sections devoted to specific topics, such as: · Specialized Decision Techniques for Data Mining, Transportation and Project Management · Pattern Recognition for Decision Making Systems · New Advances of Soft Computing in Industrial and Management Engineering · Recent Advances in Fuzzy Systems · Intelligent Data Analysis and Applications · Reasoning-based Intelligent Systems · Intelligent Methods for Eye Movement Data Processing and Analysis · Intelligent Decision Technologies for Water Resources Management · Intelligent Decision Making for Uncertain Unstructured Big Data · Decision Making Theory for Economics · Interdisciplinary Approaches in Business Intelligence Research and Practice · Pattern Recognition in Audio and Speech Processing The KES-IDT conference is a well-established international annual conference, interdisciplinary in nature. These two volumes of proceedings form an excellent account of the latest results and outcomes of recent research in this leading-edge area. .
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aCzarnowski, Ireneusz.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aCaballero, Alfonso Mateos.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_961776
700 1 _aHowlett, Robert J.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_961777
700 1 _aJain, Lakhmi C.
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_961778
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783319396286
776 0 8 _iPrinted edition:
_z9783319819266
830 0 _aSmart Innovation, Systems and Technologies,
_x2190-3026 ;
_v57
_961780
856 4 0 _uhttps://doi.org/10.1007/978-3-319-39627-9
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912 _aZDB-2-SXE
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