Data Mining

Special Issue in Annals of Information Systems

  • Robert Stahlbock
  • Sven F. Crone
  • Stefan Lessmann

Part of the Annals of Information Systems book series (AOIS, volume 8)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Robert Stahlbock, Stefan Lessmann, Sven F. Crone
    Pages 1-15
  3. Confirmatory Data Analysis

    1. Front Matter
      Pages 17-17
    2. Christian M. Ringle, Marko Sarstedt, Erik A. Mooi
      Pages 19-49
  4. Knowledge Discovery from Supervised Learning

    1. Front Matter
      Pages 51-51
    2. David Martens, Bart Baesens
      Pages 53-74
    3. Giovanni Felici, Bruno Simeone, Vincenzo Spinelli
      Pages 99-119
  5. Classification Analysis

    1. Front Matter
      Pages 121-121
    2. Tracy D. Lemmond, Barry Y. Chen, Andrew O. Hatch, William G. Hanley
      Pages 123-146
    3. Süreyya Özöğür-Akyüz, Zakria Hussain, John Shawe-Taylor
      Pages 147-158
    4. Alexander Liu, Cheryl Martin, Brian La Cour, Joydeep Ghosh
      Pages 159-192
  6. Hybrid Data Mining Procedures

    1. Front Matter
      Pages 227-227
    2. Leonidas Karamitopoulos, Georgios Evangelidis, Dimitris Dervos
      Pages 255-276
    3. Arjan Gijsberts, Giorgio Metta, Léon Rothkrantz
      Pages 277-297
    4. Ulf Johansson, Rikard König, Lars Niklasson
      Pages 299-313
  7. Web-Mining

    1. Front Matter
      Pages 315-315
    2. Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
      Pages 317-334
  8. Privacy-Preserving Data Mining

    1. Front Matter
      Pages 351-351

About this book


Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making, bioinformatics, web-usage mining, and text and image recognition to prominent business applications in corporate planning, direct marketing, and credit scoring. Research in information systems equally reflects this inter- and multidisciplinary approach, thereby advocating a series of papers at the intersection of data mining and information systems research.

This special issue of Annals of Information Systems contains original papers and substantial extensions of selected papers from the 2007 and 2008 International Conference on Data Mining (DMIN’07 and DMIN’08, Las Vegas, NV) that have been rigorously peer-reviewed. The issue brings together topics on both information systems and data mining, and aims to give the reader a current snapshot of the contemporary research and state of the art practice in data mining.


Business Intelligence Text Mining classification data analysis data mining knowledge discovery statistics

Editors and affiliations

  • Robert Stahlbock
    • 1
  • Sven F. Crone
    • 2
  • Stefan Lessmann
    • 3
  1. 1.Inst. WirtschaftsinformatikUniversität HamburgHamburgGermany
  2. 2.Management School, Dept. Management ScienceLancaster UniversityLancasterUnited Kingdom
  3. 3.Inst. WirtschaftsinformatikUniversität HamburgHamburgGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC 2010
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-1-4419-1279-4
  • Online ISBN 978-1-4419-1280-0
  • Series Print ISSN 1934-3221
  • Series Online ISSN 1934-3213
  • Buy this book on publisher's site
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