Text Mining and its Applications

Results of the NEMIS Launch Conference

  • Spiros Sirmakessis

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 138)

Table of contents

  1. Front Matter
    Pages I-X
  2. Spiros Sirmakessis
    Pages 1-6
  3. Konstantinos Markellos, Penelope Markellou, Maria Rigou, Spiros Sirmakessis
    Pages 25-35
  4. Sergio Bolasco, Francesco Baiocchi, Alessio Canzonetti, Francesca Della Ratta, Ana Feldman
    Pages 37-51
  5. Gerhard Paaß, Jörg Kindermann, Edda Leopold
    Pages 53-64
  6. N. Oikonomakou, M. Vazirgiannis
    Pages 65-79
  7. Franca Debole, Fabrizio Sebastiani
    Pages 81-97
  8. Antonis Spinakis, Paraskevi Peristera
    Pages 131-149
  9. Luca Dini, Giampaolo Mazzini
    Pages 159-167
  10. Mónica Becue, Bert Fridlund, Alf Fyhrlund, Albert Prat, Bo Sundgren
    Pages 189-204
  11. Back Matter
    Pages 204-204

About these proceedings

Introduction

The world of text mining is simultaneously a minefield and a gold mine. Text Mining is a rapidly developing applications field and an area of scientific research, using techniques from well-established scientific fields such as data mining, machine learning, information retrieval, natural language processing, case-based reasoning, statistics and knowledge management. The book contains the papers presented during the 1st International Workshop on Text Mining and its Applications held at the University of Patras, which was the launch event of the activities of NEMIS, a network of excellence in the area of text mining and its applications. The conference maintained a balance between theoretical issues and descriptions of case studies to promote synergy between theory and practice in the field of Text Mining. Topics of interest included document processing and visualization techniques, web mining, text mining and knowledge management, as well as user aspects and relations to official statistics

Keywords

Hypertext case-based reasoning classification clustering data mining genome intelligence knowledge knowledge management learning machine learning statistics text mining visualization web mining

Editors and affiliations

  • Spiros Sirmakessis
    • 1
  1. 1.Computer Technology InstituteResearch AcademicPatrasGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-45219-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-05780-9
  • Online ISBN 978-3-540-45219-5
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book