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Mining Spatio-Temporal Information Systems / edited by Roy Ladner, Kevin Shaw, Mahdi Abdelguerfi.

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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...

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Bibliographic Details
Online Access: Full Text (via Springer)
Main Author: Ladner, Roy
Other Authors: Shaw, Kevin, Abdelguerfi, Mahdi
Format: eBook
Language:English
Published: Boston, MA : Springer US, 2002.
Series:International series in engineering and computer science ; 699.
Subjects:
Computer science.
Data structures (Computer science)
Information storage and retrieval systems.
Geographic information systems.
Table of Contents:
  • 1: Spatio-Temporal Data Mining and Knowledge Discovery: Issues Overview
  • 1. Introduction
  • 2. Background
  • 3. Data
  • 4. Data Issues
  • 5. Conclusions
  • 2: Indexing of Objects on the Move
  • 1. Introduction
  • 2. Problem Statement and Related Work
  • 3. The TPR-Tree
  • 4. The REXP-Tree
  • 5. Summary of Performance Experiments
  • 6. Conclusions
  • 3: Efficient Storage of Large Volume Spatial and Temporal Point-Data in an Object-Oriented Database
  • 1. Introduction
  • 2. The GIDB System
  • 3. The Problem Domain
  • 4. An Object-Oriented Solution
  • 5. Requirements
  • 6. Towards a Solution
  • 7. The Design
  • 8. A Flexible Framework
  • 9. Sample Applications
  • 10. Evaluation
  • 11. Future Developments
  • 12. Conclusions
  • 4: A Typology of Spatiotemporal Information Queries
  • 1. Introduction
  • 2. Spatiotemporal Information for the Dynamic World
  • 3. A Typology of Spatiotemporal Queries
  • 4. Conclusions
  • 5: Visual Query of Time-Dependent 3D Weather in a Global Geospatial Environment
  • 1. Introduction
  • 2. 4D Data Model for the Visual Earth
  • 3. Scalable, Hierarchical 3D Data Structure
  • 4. Interactive, Accurate Visualization of Nonuniform Data
  • 6: STQL
  • A Spatio-Temporal Query Language
  • 1. Introduction
  • 2. Related Work
  • 3. The Data Model
  • 4. Querying with Spatio-Temporal Operations
  • 5. Visual Querying
  • 6. Conclusions
  • 7: Tripod: A Spatio-Historical Object Database System
  • 1. Introduction
  • 2. Case Study: UK National Land Use Database
  • 3. The Tripod Object Model
  • 4. Architecture
  • 5. Related Work
  • 6. Conclusions
  • 8: Spatio-Temporal Subgroup Discovery
  • 1. Introduction: Spatial Subgroup Mining
  • 2. Application Example
  • 3. Representation of Spatio-Temporal Data and of Spatial Subgroups
  • 4. Spatio-Temporal Analyses
  • 5. Database Integration
  • 6. Conclusions and Future Work.

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