01773nam a22002657a 4500 653 AR-FRRoUTN 240828t2011 inu|||||r|||| 001 0 spa d 9780470650936 UTN FRRo 004.6 2015 Linoff, Gordon S. 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 rdacontent texto txt rdamedia sin mediación n rdacarrier volumen nc 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. MINERÍA DE DATOS Berry, Michael J. A. udc BK 653 653 0 0 udc Buen Estado 0 FRRO FRRO 2016-08-26 31697 0 004.6 L674 31697 2024-08-28 14:55:09 1 2024-08-28 BK