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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1434-9922 icant recent developments in the field of Intelligent Meth­ ods applied to eCommerce. The Intelligent Methods considered are mainly Soft Computing Methods that include fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multivalued logic, and r

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Chemistry and Technology of Water Based Inks of electronic commerce. They cover major legal issues connected with choice of jurisdiction forum and applicable law, protection of data and intellectual property rights, concluding electronic contracts.

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Childhood Acute Lymphoblastic Leukemiave analytical tools, have been proposed as a leading methodology for data mining. This chapter provides guidelines for the application of neural networks to the characterization and segmentation of the on-line customer market, in a way that we consider being best practice.

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Some Legal Aspects of Electronic Commerce of electronic commerce. They cover major legal issues connected with choice of jurisdiction forum and applicable law, protection of data and intellectual property rights, concluding electronic contracts.

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A Review of Evolutionary Algorithms for E-Commercee. It starts by discussing the main characteristics of EAs in general. Then it discusses several EAs developed for e-commerce applications, focusing on three kinds of e-commerce related tasks, namely: information retrieval on the web, discovery of negotiation strategies and improvement of web-page presentation.

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Artificial Adaptive Market Traders Based in Genetic Algorithms for a Stock Market Simulator to research the stock market. Some aspects like dynamic prices, investment strategies, market statistics have been considered. Also, an artificial adapted market trader based on genetic algorithms has been implemented. Some experimental work has been done to observe the behavior of these automatic market traders in different situations.

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https://doi.org/10.1007/978-1-59259-325-5 Fuzzy ART neural network for customer grouping and buying pattern recognition, based on customer’s purchasing history. Step-by-step procedures for implementing the algorithm, and contextual framework for real-world CRM system are presented.