LEADER 03659nam 2200601 450 001 9910143573303321 005 20230125183908.0 010 $a1-280-31166-5 010 $a9786610311668 010 $a0-470-35545-X 010 $a0-471-75648-2 010 $a0-471-75647-4 024 7 $a10.1002/0471756482 035 $a(CKB)1000000000355479 035 $a(EBL)251672 035 $a(SSID)ssj0000135024 035 $a(PQKBManifestationID)11135033 035 $a(PQKBTitleCode)TC0000135024 035 $a(PQKBWorkID)10056420 035 $a(PQKB)10227953 035 $a(MiAaPQ)EBC251672 035 $a(CaBNVSL)mat05201921 035 $a(IDAMS)0b0000648104aefb 035 $a(IEEE)5201921 035 $a(OCoLC)85784185 035 $a(PPN)266978886 035 $a(EXLCZ)991000000000355479 100 $a20151221d2006 uy 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData mining methods and models /$fDaniel T. Larose 210 1$aHoboken, New Jersey :$cWiley-Interscience,$dc2006. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2006] 215 $a1 online resource (340 p.) 300 $aDescription based upon print version of record. 311 $a0-471-66656-4 320 $aIncludes bibliographical references and index. 327 $aDimension reduction methods -- Regression modeling -- Multiple regression and model building -- Logistic regression -- Nai?ve Bayes estimation and Bayesian networks -- Genetic algorithms -- Case study : modeling response to direct mail marketing. 330 $aApply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results Data Mining Methods and Models provides: * The latest techniques for uncovering hidden nuggets of information * The insight into how the data mining algorithms actually work * The hands-on experience of performing data mining on large data sets Data Mining Methods and Models: * Applies a "white box" methodology, emphasizing an understanding of the model structures underlying the softwareWalks the reader through the various algorithms and provides examples of the operation of the algorithms on actual large data sets, including a detailed case study, "Modeling Response to Direct-Mail Marketing" * Tests the reader's level of understanding of the concepts and methodologies, with over 110 chapter exercises * Demonstrates the Clementine data mining software suite, WEKA open source data mining software, SPSS statistical software, and Minitab statistical software * Includes a companion Web site, www.dataminingconsultant.com, where the data sets used in the book may be downloaded, along with a comprehensive set of data mining resources. Faculty adopters of the book have access to an array of helpful resources, including solutions to all exercises, a PowerPoint(r) presentation of each chapter, sample data mining course projects and accompanying data sets, and multiple-choice chapter quizzes. With its emphasis on learning by doing, this is an excellent textbook for students in business, computer science, and statistics, as well as a problem-solving reference for data analysts and professionals in the field. An Instructor's Manual presenting detailed solutions to all the problems in the book is available onlne. 606 $aData mining 615 0$aData mining. 676 $a005.74 700 $aLarose$b Daniel T.$0497081 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910143573303321 996 $aData mining methods and models$91415347 997 $aUNINA