Mining Spatio-Temporal Information Systems

  • Roy Ladner
  • Kevin Shaw
  • Mahdi Abdelguerfi

Table of contents

  1. Front Matter
    Pages i-x
  2. Simonas Šaltenis, Christian S. Jensen
    Pages 21-41
  3. David Olivier, Roy Ladner, Frank McCreedy, Ruth Wilson
    Pages 43-61
  4. May Yuan, John McIntosh
    Pages 63-81
  5. William Ribarsky, Nickolas Faust, Zachary Wartell, Christopher Shaw, Justin Jang
    Pages 83-104
  6. Martin Erwig, Markus Schneider
    Pages 105-126
  7. Tony Griffiths, Alvaro A. A. Fernandes, Norman W. Paton, Seung-Hyun Jeong, Nassima Djafri, Keith T. Mason et al.
    Pages 127-148
  8. Willi Klösgen, Michael May
    Pages 149-168
  9. Back Matter
    Pages 169-170

About this book

Introduction

Mining Spatio-Temporal Information Systems, an edited volume is composed of chapters from leading experts in the field of Spatial-Temporal Information Systems and addresses the many issues in support of modeling, creation, querying, visualizing and mining. Mining Spatio-Temporal Information Systems is intended to bring together a coherent body of recent knowledge relating to STIS data modeling, design, implementation and STIS in knowledge discovery. In particular, the reader is exposed to the latest techniques for the practical design of STIS, essential for complex query processing.
Mining Spatio-Temporal Information Systems is structured to meet the needs of practitioners and researchers in industry and graduate-level students in Computer Science.

Keywords

data mining database geospatial information knowledge knowledge discovery modeling

Editors and affiliations

  • Roy Ladner
    • 1
  • Kevin Shaw
    • 1
  • Mahdi Abdelguerfi
    • 2
  1. 1.Naval Research LaboratoryStennis Space CenterUSA
  2. 2.Computer Science DepartmentUniversity of New OrleansUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-1149-6
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5416-1
  • Online ISBN 978-1-4615-1149-6
  • Series Print ISSN 0893-3405
  • About this book