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008 170519s2017 si | s |||| 0|eng d
020 _a9789811038747
040 _cAIKTC-KRRC
041 _aENG
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aComputational Intelligence in Data Mining
_h[electronic resource] :
_bProceedings of the International Conference on CIDM, 10-11 December 2016 /
250 _a1st ed. 2017.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2017.
300 _aXIX, 847 p. 372 illus.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Intelligent Systems and Computing,
_x2194-5357 ;
_v556
520 _aThe book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 – 11, 2016. The book disseminates the knowledge about innovative, active research directions in the field of data mining, machine and computational intelligence, along with current issues and applications of related topics. The volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science. .
650 0 _aComputer Engineering
_94622
653 _aData Mining and Knowledge Discovery.
653 _aArtificial Intelligence.
700 1 _aBehera, Himansu Sekhar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMohapatra, Durga Prasad.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811038730
776 0 8 _iPrinted edition:
_z9789811038754
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5357 ;
_v556
856 4 0 _uhttps://doi.org/10.1007/978-981-10-3874-7
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc