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Data Mining

Theory, Methodology, Techniques, and Applications

  • Graham J. Williams
  • Simeon J. Simoff

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3755)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3755)

Table of contents

  1. Front Matter
  2. Part 1: State-of-the-Art in Research

    1. Methodological Advances

      1. Geoffrey I. Webb, Damien Brain
        Pages 1-13
      2. Xingwen Wang, Joshua Zhexue Huang
        Pages 28-38
      3. Jesús M. Pérez, Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga, José I. Martín
        Pages 39-52
      4. J. M. Martínez-Otzeta, B. Sierra, E. Lazkano, A. Astigarraga
        Pages 53-63
      5. Shiying Huang, Geoffrey I. Webb
        Pages 64-77
      6. N. R. Achuthan, Raj P. Gopalan, Amit Rudra
        Pages 78-89
      7. Richi Nayak, Tian Qiu
        Pages 105-117
      8. Yalei Hao, Gerald Quirchmayr, Markus Stumptner
        Pages 118-129
    2. Data Linkage

      1. Peter Christen, Alan Willmore, Tim Churches
        Pages 130-145
      2. Lifang Gu, Rohan Baxter
        Pages 146-160
    3. Text Mining

      1. Deepani B. Guruge, Russel J. Stonier
        Pages 161-175
      2. Inna Kolyshkina, Marcel van Rooyen
        Pages 192-202
    4. Temporal and Sequence Mining

      1. Yihao Zhang, Mehmet A. Orgun, Weiqiang Lin, Warwick Graco
        Pages 203-217
      2. Hung Kook Park, Byoungho Song, Hyeon-Joong Yoo, Dae Woong Rhee, Kang Ryoung Park, Juno Chang
        Pages 218-228
      3. Carl H. Mooney, Denise de Vries, John F. Roddick
        Pages 229-243
  3. Part 2: State-of-the-Art in Applications

    1. Health

      1. Ah Chung Tsoi, Shu Zhang, Markus Hagenbuchner
        Pages 244-259
      2. Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham Williams, Chris Kelman
        Pages 260-272
      3. Nitin Gupta, Nitin Mangal, Kamal Tiwari, Pabitra Mitra
        Pages 273-281
      4. Xuanyang Xie, Xi Li, Shouhong Wan, Yuchang Gong
        Pages 282-294
    2. Finance and Retail

      1. Simon C. K. Shiu, James N. K. Liu, Jennie L. C. Lam, Bo Feng
        Pages 303-318
  4. Back Matter

About this book

Keywords

Augmented Reality Hidden Markov Model LA association rules mining classification constraint-based mining data analysis data linkage data mining database management global patterns programming rule discovery system development visualization

Editors and affiliations

  • Graham J. Williams
    • 1
  • Simeon J. Simoff
    • 2
  1. 1.The Australian Taxation Office 
  2. 2.School of Computing and MathematicsUniversity of Western SydneySydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/11677437
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-32547-5
  • Online ISBN 978-3-540-32548-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site