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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https://doi.org/10.1057/9781137292537ations over fraudulent ones. The second one is the similarity of many bad operations to legal ones. In other words, to catch a fraudulent operation is akin to find needles in a haystack, only that some needles are in fact hay! In this type of problems (that we term below as Extreme Sample problems)

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https://doi.org/10.1057/9780230505896them suitable for highly dynamic environments, which is often the case in e-commerce applications. This chapter presents a review of EAs for e-commerce. It starts by discussing the main characteristics of EAs in general. Then it discusses several EAs developed for e-commerce applications, focusing o

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Children and Youth in African Historylp to overcome the shortcomings of these theories. In this paper, a paradigm based on learning conception is presented. A simulator has been developed to research the stock market. Some aspects like dynamic prices, investment strategies, market statistics have been considered. Also, an artificial ad

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new knowledge to improve managerial decision making in marketing. This study proposes an innovative approach to data mining using Bayesian Networks and evolutionary programming and applies the methods to marketing data. The results suggest that this approach to knowledge discovery can generate supe