000 | 03727cam a2200589Ii 4500 | ||
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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 |
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020 |
_a9781003049548 _q(electronic bk.) |
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020 |
_a1003049540 _q(electronic bk.) |
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020 |
_a9781000208580 _q(electronic bk. : EPUB) |
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020 |
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020 | _z0367503360 | ||
020 | _z9780367503369 | ||
035 | _a(OCoLC)1224544608 | ||
035 | _a(OCoLC-P)1224544608 | ||
050 | 4 |
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072 | 7 |
_aCOM _x037000 _2bisacsh |
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_aTEC _x008000 _2bisacsh |
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_aTJFM _2bicssc |
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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. |
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300 |
_a1 online resource (1 volume) : _billustrations. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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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 |
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650 | 7 |
_aCOMPUTERS / Programming / Systems Analysis & Design _2bisacsh |
|
700 | 1 |
_aDas, Himansu, _eeditor. |
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700 | 1 |
_aRout, Jitendra Kumar, _eeditor. |
|
700 | 1 |
_aMoharana, Suresh Chandra, _eeditor. |
|
700 | 1 |
_aDey, Nilanjan, _d1984- _eeditor. |
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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 |
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999 |
_c14764 _d14764 |