01732cam a22002775a 45000010009000000050017000090080041000260200018000670400036000850820021001211000022001422450124001642500012002882600068003003000036003684900060004045040051004645200681005156500031011966510010012276530025012377000023012629420008012859990017012939520144013101230071720161123180725.0141030t2014    njua   frb    001 0 eng d  z9780470908747  aCtWfDGIbengcCtWfDGIdEG-ScBUE04a006.312222bLAR1 aLarose, Daniel T.10aDiscovering knowledge in data :ban introduction to data mining, second edition /cDaniel T. Larose, Chantal D. Larose.  a2nd ed.  aHoboken :bJohn Wiley & Sons :bIEEE Computer Society,cc.2014.  axviii, 316 p. :bill. ;c24 cm.0 aWiley series on methods and applications in data mining  aIncludes bibliographical references and index.  aThis book provides the tools needed to thrive in today's big data world. The author demonstrates how to leverage a company's existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will "learn data mining by doing data mining". By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, the second edition remains the eminent reference on data mining. It offers an appendix on data summarization and visualization as well as extensive coverage of the R statistical programming language as well as 280 end-of-chapter exercises. -- 7aData mining.2BUEsh927695  2BUEsh  bCOMSCIcNovember20161 aLarose, Chantal D.  2ddc  c23298d23270  00102ddc40708BaccahaMAINbMAINcLOWd2016-11-23ePurchaseg719.50h2000088l0o006.312 LARp000034958r2025-07-15 00:00:00v899.38yBB