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001 9781003049548
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008 201130s2021 flua ob 000 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9781003049548
_q(electronic bk.)
020 _a1003049540
_q(electronic bk.)
020 _a9781000208580
_q(electronic bk. : EPUB)
020 _a1000208583
_q(electronic bk. : EPUB)
020 _a9781000208542
_q(electronic bk. : PDF)
020 _a1000208540
_q(electronic bk. : PDF)
020 _a9781000208566
_q(electronic bk. : Mobipocket)
020 _a1000208567
_q(electronic bk. : Mobipocket)
020 _z0367503360
020 _z9780367503369
035 _a(OCoLC)1224544608
035 _a(OCoLC-P)1224544608
050 4 _aQ325.5
_b.A66 2020eb
072 7 _aCOM
_x037000
_2bisacsh
072 7 _aTEC
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_2bisacsh
072 7 _aCOM
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072 7 _aTJFM
_2bicssc
082 0 4 _a006.31
_223
245 0 0 _aApplied intelligent decision making in machine learning /
_cedited by Himansu Das, Jitendra Kumar Rout, Suresh Chandra Moharana, Nilanjan Dey.
264 1 _aBoca Raton :
_bCRC Press, Taylor & Francis Group,
_c2021.
300 _a1 online resource (1 volume) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aComputational intelligence in engineering problem solving
520 _aThe objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation systems, forecasting air quality, healthcare, exchange rate prediction, and image dehazing. It also provides a premier interdisciplinary platform for scientists, researchers, practitioners, and educators to share their thoughts in the context of recent innovations, trends, developments, practical challenges, and advancements in the field of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the decision-making process in several aspects. To address these objectives, this edited book includes a dozen chapters contributed by authors from around the globe. The authors attempt to solve these complex problems using several intelligent machine-learning techniques. This allows researchers to understand the mechanism needed to harness the decision-making process using machine-learning techniques for their own respective endeavors.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aMachine learning.
_91831
650 0 _aDecision making
_xData processing.
_912928
650 7 _aCOMPUTERS / Machine Theory
_2bisacsh
_912929
650 7 _aTECHNOLOGY / Electronics / General
_2bisacsh
_910793
650 7 _aCOMPUTERS / Programming / Systems Analysis & Design
_2bisacsh
_912930
700 1 _aDas, Himansu,
_eeditor.
_912931
700 1 _aRout, Jitendra Kumar,
_eeditor.
_912932
700 1 _aMoharana, Suresh Chandra,
_eeditor.
_912933
700 1 _aDey, Nilanjan,
_d1984-
_eeditor.
_912934
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003049548
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cEBK
999 _c70326
_d70326