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: 9783790825145
  • Publisher: Physica-Verlag HD
  • Publication date: 12/15/2010
  • Series: Studies in Fuzziness and Soft Computing Series , #105
  • Edition description: Softcover reprint of hardcover 1st ed. 2002
  • Edition number: 1
  • Pages: 367
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.78 (d)

Table of Contents

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 Sk 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.

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