| LEADER : 00000nam 2200000uu 4500 |
| 008 180403s2011||||th 000 0 eng d |
| 020 ^a9780470650936 (pbk : alk. paper) |
| 050 00 ^aHF5415.125^b.B47 2011 |
| 100 1 ^aLinoff, Gordon. |
| 245 10 ^aData mining techniques :^bfor marketing, sales, and customer relationship management /^cGordon S Linoff, Michael J Berry. |
| 250 ^a3rd ed. |
| 260 ^aIndianapolis, IN :^bWiley Pub.,^c2011. |
| 300 ^axl, 847 p. :^bill. ;^c24 cm. |
| 500 ^aBerry's name appears first on the 2nd ed. |
| 500 ^aIncludes index. |
| 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 andswarm intelligence -- Tell me something new: pattern discovery and data mining -- Finding islands of similarity: automatic cluster detection -- Alternative approaches tocluster 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. |
| 650 0 ^aData mining. |
| 650 0 ^aMarketing^xData processing. |
| 650 0 ^aBusiness^xData processing. |
| 700 1 ^aBerry, Micahel J. A. |
| 999 ^aปวีนา ภู่ทอง |
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