E-Commerce and Intelligent Methods

✍ Scribed by Marian Niedwiedzinski (auth.), Assoc. Professor Javier Segovia, Assoc. Professor Piotr S. Szczepaniak, Assoc. Professor Marian Niedzwiedzinski (eds.)

• Publisher: Physica-Verlag Heidelberg
• Year: 2002
• Tongue: English
• Leaves: 364
• Series: Studies in Fuzziness and Soft Computing 105
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-VIII
Front Matter....Pages 1-1
Barriers to Global Electronic Commerce....Pages 3-12
Foundations of Electronic Data Interchange....Pages 13-18
Some Legal Aspects of Electronic Commerce....Pages 19-38
Front Matter....Pages 39-39
Competitive Neural Networks for Customer Choice Models....Pages 41-60
CRM in e-Business: a Client’s Life Cycle Model Based on a Neural Network....Pages 61-77
Customer Relationship Management Systems: The Application of Fuzzy ART Neural Network....Pages 78-100
Characterizing and Segmenting the Online Customer Market Using Neural Networks....Pages 101-119
Data Mining for Diverse E-Commerce Applications....Pages 120-135
Extreme Sample Classification and Credit Card Fraud Detection....Pages 136-155
Front Matter....Pages 157-157
A Review of Evolutionary Algorithms for E-Commerce....Pages 159-179
Artificial Adaptive Market Traders Based in Genetic Algorithms for a Stock Market Simulator....Pages 180-197
Data Mining in Marketing Using Bayesian Networks and Evolutionary Programming....Pages 198-214
Improving User Profiles for E-Commerce by Genetic Algorithms....Pages 215-229
Front Matter....Pages 231-231
Automatic Web User Profiling and Personalization Using Robust Fuzzy Relational Clustering....Pages 233-261
Fuzzy Quantifiable Trust in Secure E-Commerce....Pages 262-280
Fuzzy Similarity in E-Commerce Domains....Pages 281-289
Front Matter....Pages 291-291
Agencies of Agents for Logistic Applications....Pages 293-321
Intelligent Customer Support for Product Selection with Case-Based Reasoning....Pages 322-341
Mobile Agent Based Auctionlike Negotiation in Internet Retail Commerce....Pages 342-361
Back Matter....Pages 363-367

✦ Subjects

Business Information Systems; Artificial Intelligence (incl. Robotics)