Mining Spatio-Temporal Information Systems
Published on 22. March 2013
Book
Paperback/Softback
X, 170 pages
978-1-4613-5416-1 (ISBN)
Description
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.
Mining Spatio-Temporal Information Systems is structured to meet the needs of practitioners and researchers in industry and graduate-level students in Computer Science.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2002
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Professional/practitioner
Illustrations
X, 170 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 11 mm
Weight
289 gr
ISBN-13
978-1-4613-5416-1 (9781461354161)
DOI
10.1007/978-1-4615-1149-6
Schweitzer Classification
Other editions
Additional editions
Roy Ladner | Kevin Shaw | Mahdi Abdelguerfi
Mining Spatio-Temporal Information Systems
E-Book
12/2012
Springer
€96.29
Available for download
Roy Ladner | Kevin Shaw | Mahdi Abdelguerfi
Mining Spatio-Temporal Information Systems
Book
08/2002
Kluwer Academic Publishers
€106.50
Shipment within 15-20 days
Content
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.