Titlebook: E-Commerce and Intelligent Methods; Javier Segovia,Piotr S. Szczepaniak,Marian Niedzwi Book 2002 Springer-Verlag Berlin Heidelberg 2002 DO

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returned from a Web site is a desired feature that can enhance server performance improve system design, and lead to wise marketing decisions in electronic commerce. Mining typical user profiles from the vast amount of historical data stored in access logs is an important component of Web personaliz

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會(huì)議

Javier Segovia,Piotr S. Szczepaniak,Marian NiedzwiFirst comprehensive anthology on the e-commerce applications of intelligent methods.Includes supplementary material:

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PURG

Iron chelators of clinical significance,plexity of these problems is addressed: they are very hard to solve exactly; special cases are shown to be NP-complete. We use competitive neural network techniques for both artificial and real life data, and report the results.

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Data Mining in Marketing Using Bayesian Networks and Evolutionary Programmingrior results than the conventional method of logistic regression. Future research in this area should devote more attention to applying this and other data mining methods to solving complex problems facing today’s electronic businesses.