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000384048 020__ $$z0471470643 (paper/website)
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000384048 050_4 $$aHF5415.125$$b.B47 2004
000384048 08204 $$a658.8/02$$222
000384048 1001_ $$aBerry, Michael J. A.
000384048 24510 $$aData mining techniques:$$bfor marketing, sales, and customer relationship management /$$cMichael J.A. Berry, Gordon S. Linoff.
000384048 250__ $$a2nd ed.
000384048 260__ $$aIndianapolis, Ind. :$$bWiley Pub.,$$cc2004.
000384048 300__ $$axxv, 643 p. :$$bill.
000384048 336__ $$atext$$2rdacontent
000384048 337__ $$acomputer$$2rdamedia
000384048 338__ $$aonline resource$$2rdacarrier
000384048 500__ $$aIncludes index.
000384048 5050_ $$aWhy and what is data mining? -- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.
000384048 506__ $$aAccess limited to authorized users.
000384048 650_0 $$aData mining.
000384048 650_0 $$aMarketing$$xData processing.
000384048 650_0 $$aBusiness$$xData processing.
000384048 655_0 $$aElectronic books
000384048 7001_ $$aLinoff, Gordon.
000384048 852__ $$bebk
000384048 85640 $$3ProQuest Ebook Central Academic Complete $$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=183845$$zOnline Access
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000384048 980__ $$aBIB
000384048 980__ $$aEBOOK
000384048 982__ $$aEbook
000384048 983__ $$aOnline