E-Commerce and Intelligent Methods / Edition 1

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Overview

The book contains an up-to-date collection of world wide representative works which cover a wide spectrum of problems related to e-Commerce applications, including: Customer Service and Support, Negotiation and Trading Strategies, Logistic Design and Support, Inventory Optimisation, e-CRM, Customer and/or Product Profiling, Personalization, Modelling and Segmentation, Security in Payments and Transactions, etc. The Intelligent Methods used fall into the so-called category of Soft Computing and cover Neural Networks, Bayesian Networks, Fuzzy Logic, Evolutionary Programming, Agents, and Case Based Reasoning. The book is aimed at researchers and insightful practitioners, lecturers as well as students of e-Commerce and Artificial Intelligence.

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Product Details

  • ISBN-13: 9783790814996
  • Publisher: Physica-Verlag HD
  • Publication date: 9/17/2002
  • Series: Studies in Fuzziness and Soft Computing Series , #105
  • Edition description: 2002
  • Edition number: 1
  • Pages: 367
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.88 (d)

Table of Contents

Preface
Pt. 1 Foundations of Electronic Commerce
Barriers to Global Electronic Commerce 3
Foundations of Electronic Data Interchange 13
Some Legal Aspects of Electronic Commerce 19
Pt. 2 Neural Networks
Competitive Neural Networks for Customer Choice Models 41
CRM in e-Business: a Client's Life Cycle Model Based on a Neural Network 61
Customer Relationship Management Systems: The Application of Fuzzy ART Neural Network 78
Characterizing and Segmenting the Online Customer Market Using Neural Networks 101
Data Mining for Diverse E-Commerce Applications 120
Extreme Sample Classification and Credit Card Fraud Detection 136
Pt. 3 Evolutionary Programming
A Review of Evolutionary Algorithms for E-Commerce 159
Artificial Adaptive Market Traders Based in Genetic Algorithms for a Stock Market Simulator 180
Data Mining in Marketing Using Bayesian Networks and Evolutionary Programming 198
Improving User Profiles for E-Commerce by Genetic Algorithms 215
Pt. 4 Fuzzy Logic
Automatic Web User Profiling and Personalization Using Robust Fuzzy Relational Clustering 233
Fuzzy Quantifiable Trust in Secure E-Commerce 262
Fuzzy Similarity in E-Commerce Domains 281
Pt. 5 CBR and Agents
Agencies of Agents for Logistic Applications 293
Intelligent Customer Support for Product Selection with Case-Based Reasoning 322
Mobile Agent Based Auction like Negotiation in Internet Retail Commerce 342
Subject Index 363
Author Index 365
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