000 02191pam a22004094a 4500
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008 031209s2004 inua 001 0 eng
010 _a 2003026693
020 _a0471470643
_c47.50
040 _aDLC
_cDLC
_dDLC
042 _apcc
050 0 0 _aHF5415.125
_b.B47 2004
090 _aHF 5415.125 .B47 2004
100 1 _aBerry, Michael J. A.
_995371
245 1 0 _aData mining techniques :
_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. ;
_c24 cm.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
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.
650 0 _aData mining.
_995372
650 0 _aMarketing
_xData processing.
_995373
650 0 _aBusiness
_xData processing.
_995377
700 1 _aLinoff, Gordon.
_995378
852 _9p47.50
_y12-26-2006
907 _a19681
_b08-12-10
_c08-06-10
942 _cBOOK
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998 _aaudmc
_b12-26-06
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_o-
_p174.56
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999 _c19681
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