Data mining techniques : for marketing, sales, and customer relationship management / Gordon S. Linoff, Michael J. A. Berry.
Material type:
TextPublication details: Indianápolis : Wiley, 2011.Edition: 3rdDescription: 847 p. ; 24 cmContent type: - texto
- sin mediación
- volumen
- 9780470650936
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Biblioteca "Manuel Belgrano" FRRo-UTN | 004.6 L674 (Browse shelf(Opens below)) | Buen Estado | 1 | Available | 31697 |
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.
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