E-Commerce and Intelligent Methods - Softcover

Softcover

ISBN 10: 3662003104 ISBN 13: 9783662003107

Publisher: Springer, 2014

Synopsis

1. Foundations of Electronic Commerce.- Barriers to Global Electronic Commerce.- Foundations of Electronic Data Interchange.- Some Legal Aspects of Electronic Commerce.- 2. Neural Networks.- Competitive Neural Networks for Customer Choice Models.- CRM in e-Business: a Client's Life Cycle Model Based on a Neural Network.- Customer Relationship Management Systems: The Application of Fuzzy ART Neural Network.- Characterizing and Segmenting the Online Customer Market Using Neural Netwoks.- Data Mining for Diverse E-Commerce Applications.- Extreme Sample Classification and Credit Card Fraud Detection.- 3. Evolutionary Programming.- A Review of Evolutionary Algorithms for E-Commerce.- Artificial Adaptive Market Traders Based in Genetic Algorithms for a Stock Market Simulator.- Data Mining in Marketing Using Bayesian Networks and Evolutionary Programming.- Improving User Profiles for E-Commerce by Genetic Algorithms.- 4. Fuzzy Logic.- Automatic Web User Profiling and Personalization Using Robust Fuzzy Relational Clustering.- Fuzzy Quantifiable Trust in Secure E-Commerce.- Fuzzy Similarity in E-Commerce Domains.- 5. CBR and Agents.- Agencies of Agents for Logistic Applications.- Intelligent Customer Support for Product Selection with Case-Based Reasoning.- Mobile Agent Based Auctionlike Negotiation in Internet Retail Commerce.- Author Index.

Edition details

• Publisher: Springer
• Publication date: 2014
• Language: English
• ISBN 10: 3662003104
• ISBN 13: 9783662003107
• Binding: Paperback
• Number of pages: 376
• Editor: Segovia Javier, Szczepaniak Piotr S, Niedzwiedzinski Marian