Linoff, Gordon S.  <br/><br/>
Data mining techniques :  for marketing, sales, and customer relationship management / 
Gordon S. Linoff, Michael J. A. Berry. 
 - 3rd 
 - Indianápolis :   Wiley,   2011. 
 - 847 p. ;   24 cm 
<br/><br/>Introduction. -- Chapter 1. What id data mining and why do it?. -- Chapter 2. Data mining applications in marketing and customer relationship management. -- Chapter 3. The data minig process. -- Chapter 4. Statistics 101. -- Chapter 5. Descriptions and prediction. -- Chapter 6. Data mining using classic staristical techniques. -- Chapter 7. Decision trees. -- Chapter 8. Artificial neural networks. -- Chapter 9. Nearest neighbor approaches. -- Chapter 10. Knoeing whwn the worry. -- Chapter 11. Genetic algorithms and swarm intelligence. -- Chapter 12. ell me something new . -- Chapter 13. Finding islands of similarity. -- Chapter 14. Alternative approaches to cluster detections. -- Chapter 15. Market basket analysis ans associations rules. -- Chapter 16. Link analisys. -- Chapter 17. Data warehousing. -- Chapter 18. Buildind customer signatures. -- Chapter 19. Derived variables. -- Chapter 20. Too much of a good thing?. -- Chapter 21. Listen carefully to what your customers say. 
<br/><br/><label>ISBN: </label>9780470650936 
<br/><br/><label>Subjects--Topical Terms: </label><br/>MINERÍA DE DATOS
<br/><br/><label>Universal Decimal Class. No.: </label>004.6