000			01773nam a22002657a 4500
001			653
003			AR-FRRoUTN
008			240828t2011 inu|||||r|||| 001 0 spa d
020			_a9780470650936
040			_aUTN FRRo
080	0		_a004.6 _22015
100	1		_aLinoff, Gordon S.
245	1	0	_aData mining techniques : _bfor marketing, sales, and customer relationship management / _cGordon S. Linoff, Michael J. A. Berry.
250			_a3rd
260			_aIndianápolis : _bWiley, _c2011.
300			_a847 p. ; _c24 cm
336			_2rdacontent _atexto _btxt
337			_2rdamedia _asin mediación _bn
338			_2rdacarrier _avolumen _bnc
505	0		_aIntroduction. -- 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.
650	1	4	_aMINERÍA DE DATOS
700	1		_aBerry, Michael J. A.
942			_2udc _cBK
999			_c653 _d653