000 02338nam a22003135a 4500
008 110127s2011 inu 000 0 eng
010 _a 2011921769
020 _a9780470650936 (pbk : alk. paper)
020 _a0470650931 (pbk : alk. paper)
040 _aDLC
_cDLC
042 _apcc
100 1 _aLinoff, Gordon S.
245 1 0 _aData mining techniques, third edition :
_bfor marketing, sales, and customer relationship management /
_cGordon S Linoff, Michael J Berry
250 _a3rd ed.
260 _aIndianapolis, IN :
_bWiley Pubishing, Inc.,
_c2011.
263 _a1103
300 _axl, 847 p. :
_bill. ;
_c24 cm.
035 _a16627057
650 7 _aData mining
_2sears
650 7 _aBusiness
_xData processing
_2sears
650 7 _aMarketing
_xData processing
_2sears
505 0 _aWhat is data mining and why do it? -- Data mining applications in marketing and customer relationship management -- The data mining process -- Statistics 101: what you should know about data -- Descriptions and prediction: profiling and predictive modeling -- Data mining using classic statistical techniques -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches: memory-based reasoning and collaborative filtering -- Knowing when to worry: using survival analysis to understand customers -- Genetic algorithms and swarm intelligence -- Tell me something new: pattern discovery and data mining -- Finding islands of similarity: automatic cluster detection -- Alternative approaches to cluster detection -- Market basket analysis and association rules -- Link analysis -- Data warehousing, OLAP, analytic sandboxes, and data mining -- Building customer signatures -- Derived variables: making the data mean more -- Too much of a good thing? Techniques for reducing the number of variables -- Listen carefully to what your customers say: text mining.
520 _aThe leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business.
700 _aBerry, Michael J. A.
005 20170126095548.0
001 35821
003 UOWD
942 _cREGULAR
999 _c17445
_d17445