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E-Commerce and Intelligent Methods

  • Javier Segovia
  • Piotr S. Szczepaniak
  • Marian Niedzwiedzinski

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 105)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Foundations of Electronic Commerce

    1. Front Matter
      Pages 1-1
    2. Marian Niedwiedzinski
      Pages 3-12
    3. Hanna Niedwiedziska, Marian Niedwiedzinski
      Pages 13-18
    4. Agnieszka Grudzińska-Kuna, Magorzata Ziemecka
      Pages 19-38
  3. Neural Networks

    1. Front Matter
      Pages 39-39
    2. Walter A. Kosters, Michiel C. van Wezel
      Pages 41-60
    3. Oscar Marbán, Ernestina Menasalvas, César Montes, John G. Rajakulendran, Javier Segovia
      Pages 61-77
    4. Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan
      Pages 101-119
    5. Amar Gupta, Sanjeev Vadhavkar, Jason Yeung
      Pages 120-135
    6. José R. Dorronsoro, Ana M. González, Carlos Santa Cruz
      Pages 136-155
  4. Evolutionary Programming

  5. Fuzzy Logic

    1. Front Matter
      Pages 231-231
    2. Olfa Nasraoui, Raghu Krishnapuram, Anupam Joshi, Tapan Kamdar
      Pages 233-261
    3. Daniel W. Manchala
      Pages 262-280
    4. Adam Niewiadomski, Piotr S. Szczepaniak
      Pages 281-289
  6. CBR and Agents

    1. Front Matter
      Pages 291-291
    2. Sonali Banerjee
      Pages 293-321
    3. Ralph Bergmann, Sascha Schmitt, Armin Stahl
      Pages 322-341
    4. XiaoFeng Wang, Xun Yi, Ramayya Krishnan, Chee Kheong Siew, Pradeep K. Khosla
      Pages 342-361
  7. Back Matter
    Pages 363-367

About this book

Introduction

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.

Keywords

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

Editors and affiliations

  • Javier Segovia
    • 1
  • Piotr S. Szczepaniak
    • 2
    • 3
  • Marian Niedzwiedzinski
    • 4
  1. 1.Facultad de InformáticaUniversidad Politécnica de MadridMadridSpain
  2. 2.Institute of Computer ScienceTechnical University of LodzLodzPoland
  3. 3.Systems Research InstitutePolish Academy of SciencesWarsawPoland
  4. 4.Systems Analysis and Design DepartmentUniversity of LodzLodzPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1779-9
  • Copyright Information Physica-Verlag Heidelberg 2002
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2514-5
  • Online ISBN 978-3-7908-1779-9
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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