000			03727cam a2200589Ii 4500
001			9781003049548
003			FlBoTFG
005			20220724194206.0
006			m o d
007			cr cnu---unuuu
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 _x008000 _2bisacsh
072		7	_aCOM _x051240 _2bisacsh
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.
650		0	_aDecision making _xData processing.
650		7	_aCOMPUTERS / Machine Theory _2bisacsh
650		7	_aTECHNOLOGY / Electronics / General _2bisacsh
650		7	_aCOMPUTERS / Programming / Systems Analysis & Design _2bisacsh
700	1		_aDas, Himansu, _eeditor.
700	1		_aRout, Jitendra Kumar, _eeditor.
700	1		_aMoharana, Suresh Chandra, _eeditor.
700	1		_aDey, Nilanjan, _d1984- _eeditor.
856	4	0	_3Read Online _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			_2lcc _cEBK
999			_c14764 _d14764