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008 031209s2004 inua s 001 0 eng
010 _z 2003026693
020 _z0471470643 (paper/website)
035 _a(MiAaPQ)EBC183845
035 _a(Au-PeEL)EBL183845
035 _a(CaPaEBR)ebr10114278
035 _a(CaONFJC)MIL35280
035 _a(OCoLC)55141423
040 _aMiAaPQ
_cMiAaPQ
_dMiAaPQ
050 4 _aHF5415.125
_b.B47 2004
082 0 4 _a658.8/02
_222
100 1 _aBerry, Michael J. A.
245 1 0 _aData mining techniques
_h[electronic resource] :
_bfor marketing, sales, and customer relationship management /
_cMichael J.A. Berry, Gordon S. Linoff.
250 _a2nd ed.
260 _aIndianapolis, Ind. :
_bWiley Pub.,
_cc2004.
300 _axxv, 643 p. :
_bill.
500 _aIncludes index.
505 0 _aWhy and what is data mining? -- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.
533 _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0 _aData mining.
650 0 _aMarketing
_xData processing.
650 0 _aBusiness
_xData processing.
655 4 _aElectronic books.
700 1 _aLinoff, Gordon.
710 2 _aProQuest (Firm)
856 4 0 _uhttps://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=183845
_zClick to View
999 _c17673
_d17673