000 02391nam a22005295i 4500
001 978-3-642-39515-4
003 DE-He213
005 20200421111651.0
007 cr nn 008mamaa
008 130622s2013 gw | s |||| 0|eng d
020 _a9783642395154
_9978-3-642-39515-4
024 7 _a10.1007/978-3-642-39515-4
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aIntegrated Uncertainty in Knowledge Modelling and Decision Making
_h[electronic resource] :
_bInternational Symposium, IUKM 2013, Beijing, China, July 12-14, 2013. Proceedings /
_cedited by Zengchang Qin, Van-Nam Huynh.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXII, 219 p. 61 illus.
_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 ;
_v8032
520 _aThis book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.
650 0 _aComputer science.
650 0 _aAlgorithms.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
700 1 _aQin, Zengchang.
_eeditor.
700 1 _aHuynh, Van-Nam.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642395147
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v8032
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-39515-4
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c54416
_d54416