E-Commerce and Intelligent Methods

By: Javier Segovia (Editor), Piotr S. Szczepaniak (Editor), Marian Niedzwiedzinski (Editor)

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Hardcover | 6 August 2002

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Hardcover
380 Pages

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23.5 x 15.88 x 2.54

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This book covers significant 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 related fields. There is not doubt about the relevance of eCommerce in our daily environ ments and in the work carried out at many research centers throughout the world. The application of AI to Commerce is growing as fast as the computers and net works are being integrated in all business and commerce aspects. We felt that it was time to sit down and see how was the impact into that field of low-level AI, i.e. softcomputing. We found many scattered contributions disseminated in con ferences, workshops, journal, books or even technical reports, but nothing like a common framework that could serve as a basis for further research, comparison or even prototyping for a direct transfer to the industry. We felt then the need to set up a reference point, a book like this. We planned this book as a recompilation of the newest developments of re searchers who already made some contribution into the field. The authors were se lected based on the originality and quality of their work and its relevance to the field. Authors came from prestigious universities and research centers with differ ent backgrounds.

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Preface
Foundations of Electronic Commerce
Barriers to Global Electronic Commerce	p. 3
Foundations of Electronic Data Interchange	p. 13
Some Legal Aspects of Electronic Commerce	p. 19
Neural Networks
Competitive Neural Networks for Customer Choice Models	p. 41
CRM in e-Business: a Client's Life Cycle Model Based on a Neural Network	p. 61
Customer Relationship Management Systems: The Application of Fuzzy ART Neural Network	p. 78
Characterizing and Segmenting the Online Customer Market Using Neural Networks	p. 101
Data Mining for Diverse E-Commerce Applications	p. 120
Extreme Sample Classification and Credit Card Fraud Detection	p. 136
Evolutionary Programming
A Review of Evolutionary Algorithms for E-Commerce	p. 159
Artificial Adaptive Market Traders Based in Genetic Algorithms for a Stock Market Simulator	p. 180
Data Mining in Marketing Using Bayesian Networks and Evolutionary Programming	p. 198
Improving User Profiles for E-Commerce by Genetic Algorithms	p. 215
Fuzzy Logic
Automatic Web User Profiling and Personalization Using Robust Fuzzy Relational Clustering	p. 233
Fuzzy Quantifiable Trust in Secure E-Commerce	p. 262
Fuzzy Similarity in E-Commerce Domains	p. 281
CBR and Agents
Agencies of Agents for Logistic Applications	p. 293
Intelligent Customer Support for Product Selection with Case-Based Reasoning	p. 322
Mobile Agent Based Auction like Negotiation in Internet Retail Commerce	p. 342
Subject Index	p. 363
Author Index	p. 365
Table of Contents provided by Blackwell. All Rights Reserved.

E-Commerce and Intelligent Methods

At a Glance

Hardcover

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