E-Commerce and Intelligent Methods

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Segovia, Javier (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Szczepaniak, Piotr S. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Niedzwiedzinski, Marian (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2002.
• Έκδοση: 1st ed. 2002.
• Σειρά: Studies in Fuzziness and Soft Computing, 105
• Θέματα: E-commerce.; Information technology.; Business-Data processing.; Artificial intelligence.; e-Commerce/e-business.; IT in Business.; Artificial Intelligence.

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, m...

Πίνακας περιεχομένων:

• 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.