Intelligent Technologies for Information Analysis

  • Ning Zhong
  • Jiming Liu

Table of contents

  1. Front Matter
    Pages I-XXVII
  2. The Alchemy of Intelligent IT (iIT): A Blueprint for Future Information Technology

  3. Emerging Data Mining Technology

    1. Front Matter
      Pages 17-17
    2. Mario Cannataro, Antonio Congiusta, Carlo Mastroianni, Andrea Pugliese, Domenico Talia, Paolo Trunfio
      Pages 19-45
    3. Katharina Morik, Martin Scholz
      Pages 47-65
    4. Yongdai Kim, Jinseog Kim, Jongwoo Jeon
      Pages 67-87
    5. Ning Zhong, Yiyu Yao, Chunnian Liu, Jiajin Huang, Chuangxin Ou
      Pages 109-131
  4. Data Mining for Web Intelligence

    1. Front Matter
      Pages 133-133
    2. Qiang Yang, Charles X. Ling, Jianfeng Gao
      Pages 169-191
    3. Roberto Navigli, Paola Velardi, Michele Missikoff
      Pages 223-242
    4. Richard Cole, Florence Amardeilh, Peter Eklund
      Pages 243-264
    5. Vincent Dubois, Mohamed Quafafou
      Pages 265-288
  5. Emerging Agent Technology

    1. Front Matter
      Pages 289-289
    2. Xiaolong Jin, Jiming Liu
      Pages 291-310
    3. Francesco Buccafurri, Luigi Palopoli, Domenico Rosaci, Giuseppe M. L. Sarnè
      Pages 311-332
    4. Jeffrey M. Bradshaw, Patrick Beautement, Maggie R. Breedy, Larry Bunch, Sergey V. Drakunov, Paul J. Feltovich et al.
      Pages 361-406
  6. Emerging Soft Computing Technology

    1. Front Matter
      Pages 407-407
    2. Benjamin W. Wah, Minglun Qian
      Pages 409-431
    3. Sankar K. Pal, Sushmita Mitra, Pabitra Mitra
      Pages 475-512
    4. Salvatore Greco, Benedetto Matarazzo, Roman Slowinski
      Pages 513-552
    5. Salvatore Greco, Benedetto Matarazzo, Roman Slowinski
      Pages 553-612
  7. Statistical Learning Theory

  8. Back Matter
    Pages 707-711

About this book


Intelligent Information Technology (iiT) encompasses the theories and ap­ plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com­ puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par­ ticular, advances in agents, data mining, and learning theory, from both the­ oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur­ vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession­ als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in­ telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.


STATISTICA Web Intelligence agents architectures artificial intelligence calculus cognition data mining intelligence knowledge learning learning theory pattern recognition problem solving sets

Authors and affiliations

  • Ning Zhong
    • 1
  • Jiming Liu
    • 2
  1. 1.Department of Information EngineeringMaebashi Institute of TechnologyMaebashiJapan
  2. 2.Department of Computer ScienceHong Kong Baptist UniversityKowloon TongHong Kong

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-07378-6
  • Online ISBN 978-3-662-07952-2
  • Buy this book on publisher's site
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