Record ID | marc_loc_2016/BooksAll.2016.part42.utf8:92748921:1987 |
Source | Library of Congress |
Download Link | /show-records/marc_loc_2016/BooksAll.2016.part42.utf8:92748921:1987?format=raw |
LEADER: 01987cam a22003738i 4500
001 2015040496
003 DLC
005 20151204085046.0
008 151106s2016 nju 001 0 eng c
010 $a 2015040496
020 $a9781118729274 (cloth)
040 $aWaSeSS/DLC$beng$erda$cWaSeSS
042 $apcc
050 00 $aHF5548.2$b.S44843 2016
082 00 $a005.54$223
100 1 $aShmueli, Galit,$d1971-$eauthor.
240 10 $aData mining for business intelligence
245 10 $aData mining for business analytics :$bconcepts, techniques, and applications in Microsoft Office Excel with XLMiner /$cGalit Shmueli, Nitin R. Patel, Peter C. Bruce.
250 $aThird edition.
263 $a1604
264 1 $aHoboken, New Jersey :$bJohn Wiley & Sons,$c2016.
300 $apages cm
336 $atext$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
500 $aIncludes index.
500 $aOriginally published as: Data mining for business intelligence, 2007.
505 0 $aOverview of the data mining process -- Data visualization -- Dimension reduction -- Evaluating predictive performance -- Multiple linear regression -- k-Nearest Neighbors (kNN) -- The Naive Bayes Classifier -- Classification and regression trees -- Logistic regression -- Neural nets -- Discriminant analysis -- Combining methods : ensembles and uplift modeling -- Association rules and collaborative filtering -- Cluster analysis -- Handling time series -- Regression-based forecasting -- Smoothing methods -- Social network analytics -- Text mining.
650 0 $aBusiness$xData processing.
650 0 $aData mining.
630 00 $aMicrosoft Excel (Computer file)
700 1 $aPatel, Nitin R.$q(Nitin Ratilal),$eauthor.
700 1 $aBruce, Peter C.,$d1953-$eauthor.
776 08 $iOnline version:$aShmueli, Galit, 1971- author.$tData mining for business analytics$bThird edition.$dHoboken, New Jersey : John Wiley & Sons, 2016$z9781118729137$w(DLC) 2015047680