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Mining Spatio-Temporal Information Systems

  • Book
  • © 2002

Overview

Editors:
  1. Roy Ladner

    1. Naval Research Laboratory, Stennis Space Center, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Kevin Shaw

    1. Naval Research Laboratory, Stennis Space Center, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Mahdi Abdelguerfi

    1. Computer Science Department, University of New Orleans, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 699)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-x
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  2. Spatio-Temporal Data Mining and Knowledge Discovery: Issues Overview

    • Roy Ladner, Frederick Petry
    Pages 1-19

  3. Indexing of Objects on the Move

    • Simonas Šaltenis, Christian S. Jensen
    Pages 21-41

  4. Efficient Storage of Large Volume Spatial and Temporal Point-Data in an Object-Oriented Database

    • David Olivier, Roy Ladner, Frank McCreedy, Ruth Wilson
    Pages 43-61

  5. A Typology of Spatiotemporal Information Queries

    • May Yuan, John McIntosh
    Pages 63-81

  6. Visual Query of Time-Dependent 3D Weather in a Global Geospatial Environment

    • William Ribarsky, Nickolas Faust, Zachary Wartell, Christopher Shaw, Justin Jang
    Pages 83-104

  7. STQL — A Spatio-Temporal Query Language

    • Martin Erwig, Markus Schneider
    Pages 105-126

  8. Tripod: A Spatio-Historical Object Database System

    • Tony Griffiths, Alvaro A. A. Fernandes, Norman W. Paton, Seung-Hyun Jeong, Nassima Djafri, Keith T. Mason et al.
    Pages 127-148

  9. Spatio-Temporal Subgroup Discovery

    • Willi Klösgen, Michael May
    Pages 149-168

  10. Back Matter

    Pages 169-170
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Keywords

About this book

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.

Editors and Affiliations

  • Naval Research Laboratory, Stennis Space Center, USA

    Roy Ladner, Kevin Shaw

  • Computer Science Department, University of New Orleans, USA

    Mahdi Abdelguerfi

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