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Temporal, Spatial, and Spatio-Temporal Data Mining

First International Workshop, TSDM 2000 Lyon, France, September 12, 2000 Revised Papers

  • John F. Roddick
  • Kathleen Hornsby
Conference proceedings TSDM 2000

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2007)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2007)

Table of contents

  1. Front Matter
    Pages I-I
  2. Yingjiu Li, X. Sean Wang, Sushil Jajodia
    Pages 5-19
  3. Bin Zhang, Meichun Hsu, Umesh Dayal
    Pages 31-45
  4. Ruixin Yang, Kwang-Su Yang, Menas Kafatos, X. Sean Wang
    Pages 62-76
  5. Vladimir Estivill-Castro, Michael E. Houle
    Pages 77-88
  6. Thomas Bittner
    Pages 89-104
  7. Karine Zeitouni, Laurent Yeh, Marie-Aude Aufaure
    Pages 105-116
  8. Howard J. Hamilton, Dee Jay Randall
    Pages 117-132
  9. John F. Roddick, Kathleen Hornsby, Myra Spiliopoulou
    Pages 147-163
  10. Back Matter
    Pages 165-165

About these proceedings

Introduction

This volume contains updated versions of the ten papers presented at the First International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining (TSDM 2000) held in conjunction with the 4th European Conference on Prin- ples and Practice of Knowledge Discovery in Databases (PKDD 2000) in Lyons, France in September, 2000. The aim of the workshop was to bring together experts in the analysis of temporal and spatial data mining and knowledge discovery in temporal, spatial or spatio-temporal database systems as well as knowledge engineers and domain experts from allied disciplines. The workshop focused on research and practice of knowledge discovery from datasets containing explicit or implicit temporal, spatial or spatio-temporal information. The ten original papers in this volume represent those accepted by peer review following an international call for papers. All papers submitted were refereed by an international team of data mining researchers listed below. We would like to thank the team for their expert and useful help with this process. Following the workshop, authors were invited to amend their papers to enable the feedback received from the conference to be included in the ?nal papers appearing in this volume. A workshop report was compiled by Kathleen Hornsby which also discusses the panel session that was held.

Keywords

DOM Discovery Science Geographic Information Processing Knowledge Discovery Knowledge Engineering Spatial Data Mining Spatial Information Processing Spatio-Temporal Data Mining Temporal Data Mining algorithms classification data mining geographic data

Editors and affiliations

  • John F. Roddick
    • 1
  • Kathleen Hornsby
    • 2
  1. 1.School of Informatics and EngineeringFlinders University of South AustraliaAdelaideSouth Australia
  2. 2.National Center for Geographic Information and AnalysisUniversity of MaineMaineUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-45244-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-41773-6
  • Online ISBN 978-3-540-45244-7
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site