E-Commerce and Intelligent Methods

1. Front Matter

   Pages I-VIII

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2. Foundations of Electronic Commerce

   1. Front Matter

      Pages 1-1

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   2. Barriers to Global Electronic Commerce

      • Marian Niedwiedzinski

      Pages 3-12

   3. Foundations of Electronic Data Interchange

      • Hanna Niedwiedziska, Marian Niedwiedzinski

      Pages 13-18

   4. Some Legal Aspects of Electronic Commerce

      • Agnieszka Grudzińska-Kuna, Magorzata Ziemecka

      Pages 19-38

3. Neural Networks

   1. Front Matter

      Pages 39-39

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   2. Competitive Neural Networks for Customer Choice Models

      • Walter A. Kosters, Michiel C. van Wezel

      Pages 41-60

   3. CRM in e-Business: a Client’s Life Cycle Model Based on a Neural Network

      • Oscar Marbán, Ernestina Menasalvas, César Montes, John G. Rajakulendran, Javier Segovia

      Pages 61-77

   4. Customer Relationship Management Systems: The Application of Fuzzy ART Neural Network

      • Sungjune Park, Nallan C. Suresh

      Pages 78-100

   5. Characterizing and Segmenting the Online Customer Market Using Neural Networks

      • Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan

      Pages 101-119

   6. Data Mining for Diverse E-Commerce Applications

      • Amar Gupta, Sanjeev Vadhavkar, Jason Yeung

      Pages 120-135

   7. Extreme Sample Classification and Credit Card Fraud Detection

      • José R. Dorronsoro, Ana M. González, Carlos Santa Cruz

      Pages 136-155

4. Evolutionary Programming

   1. Front Matter

      Pages 157-157

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   2. A Review of Evolutionary Algorithms for E-Commerce

      • Alex A. Freitas

      Pages 159-179

   3. Artificial Adaptive Market Traders Based in Genetic Algorithms for a Stock Market Simulator

      • Pedro Isasi, Manuel Velasco

      Pages 180-197

   4. Data Mining in Marketing Using Bayesian Networks and Evolutionary Programming

      • Geng Cui, Man Leung Wong

      Pages 198-214

   5. Improving User Profiles for E-Commerce by Genetic Algorithms

      • Yi-Shin Chen, Cyrus Shahabi

      Pages 215-229

5. Fuzzy Logic

   1. Front Matter

      Pages 231-231

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   2. Automatic Web User Profiling and Personalization Using Robust Fuzzy Relational Clustering

      • Olfa Nasraoui, Raghu Krishnapuram, Anupam Joshi, Tapan Kamdar

      Pages 233-261

   3. Fuzzy Quantifiable Trust in Secure E-Commerce

      • Daniel W. Manchala

      Pages 262-280

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.

• DOM
• Electronic Commerce
• Fuzzy
• Intelligent Methods
• Internet
• Marketing
• Segment
• Soft Computing
• Web Data Mining
• agents
• artificial intelligence
• e-commerce
• evolutionary algorithm
• fuzzy logic
• modeling

• Facultad de Informática, Universidad Politécnica de Madrid, Madrid, Spain

  Javier Segovia

• Institute of Computer Science, Technical University of Lodz, Lodz, Poland

  Piotr S. Szczepaniak

• Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

  Piotr S. Szczepaniak

• Systems Analysis and Design Department, University of Lodz, Lodz, Poland

  Marian Niedzwiedzinski

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