000 04811nam a2200913 i 4500
001 5201921
003 IEEE
005 20220712205556.0
006 m o d
007 cr |n|||||||||
008 151221s2006 njua ob 001 eng d
020 _a9780471756484
_qelectronic
020 _z9780471666561
_qprint
020 _z0471756482
_qelectronic
024 7 _a10.1002/0471756482
_2doi
035 _a(CaBNVSL)mat05201921
035 _a(IDAMS)0b0000648104aefb
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQA76.9.D343
_bL378 2006eb
082 0 4 _a005.74
_222
100 1 _aLarose, Daniel T.,
_eauthor.
_926230
245 1 0 _aData mining methods and models /
_cDaniel T. Larose.
264 1 _aHoboken, New Jersey :
_bWiley-Interscience,
_cc2006.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2006]
300 _a1 PDF (xvi, 322 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _aDimension reduction methods -- Regression modeling -- Multiple regression and model building -- Logistic regression -- Na�ive Bayes estimation and Bayesian networks -- Genetic algorithms -- Case study : modeling response to direct mail marketing.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _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.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/21/2015.
650 0 _aData mining.
_93907
655 0 _aElectronic books.
_93294
695 _aLogistics
695 _aMathematical model
695 _aMatrices
695 _aMaximum likelihood estimation
695 _aPostal services
695 _aPredictive models
695 _aPrincipal component analysis
695 _aProteins
695 _aSugar
695 _aWheels
695 _aAdaptation model
695 _aAnalytical models
695 _aApproximation methods
695 _aBayesian methods
695 _aBiological cells
695 _aBusiness
695 _aCloning
695 _aClothing
695 _aCompanies
695 _aComputational modeling
695 _aComputer aided software engineering
695 _aCorrelation
695 _aCovariance matrix
695 _aDNA
695 _aData mining
695 _aData models
695 _aData visualization
695 _aDiseases
695 _aEigenvalues and eigenfunctions
695 _aEquations
695 _aEstimation
695 _aGallium
695 _aGenetic algorithms
695 _aIndexes
695 _aLeast squares approximation
695 _aLinear regression
710 2 _aJohn Wiley & Sons,
_epublisher.
_96902
710 2 _aIEEE Xplore (Online service),
_edistributor.
_926231
776 0 8 _iPrint version:
_z9780471666561
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5201921
942 _cEBK
999 _c73713
_d73713