Advances in Web Intelligence and Data Mining

  • Mark Last
  • Piotr S. Szczepaniak
  • Zeev Volkovich
  • Abraham Kandel

Part of the Studies in Computational Intelligence book series (SCI, volume 23)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Part 1

    1. Syed Toufeeq Ahmed, Srinivas Vadrevu, Hasan Davulcu
      Pages 1-10
    2. Costin Bădică, Amelia Bădică, Elvira Popescu
      Pages 11-20
    3. Farookh Khadeer Hussain, Elizabeth Chang, Tharam S. Dillon
      Pages 21-30
    4. Qiong Cheng, Yanqing Zhang, Xiaolin Hu, Nisar Hundewale, Alex Zelikovsky
      Pages 31-40
    5. Chi-Hung Chi, Lin Liu, Choon-Keng Chua
      Pages 41-50
    6. Chi-Hung Chi, Lin Liu, Shutao Zhang
      Pages 51-60
    7. Norberto Fernández-García, José M. Blázquez-del-Toro, Luis Sánchez-Fernández, Vicente Luque
      Pages 61-70
    8. Euisun Kang, Daehyuck Park, JongKeun Kim, Kunjung Sim, Younghwan Lim
      Pages 101-110
    9. Przemysław Kazienko, Katarzyna Musiał
      Pages 111-120
    10. Dariusz Król, Grzegorz Kukla, Tadeusz Lasota, Bogdan Trawiński
      Pages 131-140
    11. Yingjie Li, Li Wang, Xueli Yu, Wen Li, Yu Xing
      Pages 141-150
    12. Claude Moulin, Fathia Bettahar, Jean-Paul A. Barthès, Marco Sbodio, Nahum Korda
      Pages 151-160
    13. Kjetil Nørvåg, Albert Overskeid Nybø
      Pages 171-180

About this book

Introduction

The Internet has become a major communication medium, where virtually any kind of content can be transferred instantly and reliably between individual users and entire organizations located in any part of the globe. Consequently, more effective and efficient methods and technologies are needed to make the most of the Web's nearly unlimited potential. The new Web-related research directions include intelligent methods usually associated with the fields of computational intelligence, soft computing, and data mining. This book presents state-of-the-art developments in the area of computationally intelligent methods applied to various aspects and ways of Web exploration and Web mining. Some novel data mining algorithms that can lead to more effective and intelligent Web-based systems are also described. Scientists, engineers, and research students are expected to find many inspiring ideas in this volume.

Keywords

Web Intelligence XML algorithms classification communication data analysis data mining information system multimedia ontology operator optimization semantic web stability web mining

Editors and affiliations

  • Mark Last
    • 1
  • Piotr S. Szczepaniak
    • 2
    • 3
  • Zeev Volkovich
    • 4
  • Abraham Kandel
    • 5
  1. 1.Department of Information Systems EngineeringBen-Gurion University of the NegevBeer-ShevaIsrael
  2. 2.Institute of Computer SciencesTechnical University of LodzLodzPoland
  3. 3.Systems Research InstitutePolish Academy of SciencesWarsawPoland
  4. 4.Department of Software EngineeringORT Braude CollegeKarmielIsrael
  5. 5.Department of Computer Science and EngineeringUniversity of South FloridaTampaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-33880-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-33879-6
  • Online ISBN 978-3-540-33880-2
  • Series Print ISSN 1860-949X
  • About this book