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Searching for Patterns : How We Can Know Without Asking.

Examining the science behind everyday predictions--such as why the supermarket sends particular coupons to the appropriate people and how a bank can foretell if someone will default on a loan within a few minutes--this guide explains the basics of what data mining is, details a variety of data minin...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Chesney, Thomas
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chicago : Nottingham University Press, 2010.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Searching for Patterns :  |b How We Can Know Without Asking. 
260 |a Chicago :  |b Nottingham University Press,  |c 2010. 
300 |a 1 online resource (161 pages) 
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520 |a Examining the science behind everyday predictions--such as why the supermarket sends particular coupons to the appropriate people and how a bank can foretell if someone will default on a loan within a few minutes--this guide explains the basics of what data mining is, details a variety of data mining and techniques, and profiles the key figures behind the data-mining process. After first demonstrating fundamental approaches such as nearest neighbor and association rules, the resource goes on to analyze probabilistic techniques that use Bayes' theorem and artificial intelligence algorithms using. 
505 0 |a Cover; Copyright; Contents; Introduction; Chapter 1: Calculating Similarity; Chapter 2: Storing Data; Chapter 3: Hyperspace; Chapter 4: Shopping Baskets; Chapter 5: Dealing with Uncertainty; Chapter 6: Fit, Overfit and Underfit; Chapter 7: Modelling the Brain; Chapter 8: Practicalities; Chapter 9: Privacy Concerns; Appendix A: Database Design; Appendix B: Shopping Data; Index. 
588 0 |a Print version record. 
546 |a English. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Data mining. 
650 4 |a Computer science. 
650 6 |a Exploration de données (Informatique) 
650 7 |a Data mining  |2 fast 
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