Titolo: Mining Spatio-Temporal Information Systems (The Springer International Series in Engineering and Computer Science, 699)
Editore: Springer
Data di pubblicazione: 2002
Lingua: Inglese
ISBN 10: 1402071701
ISBN 13: 9781402071706
Rilegatura: Rilegato
Condizione: New

Descrizione articolo

Riassunto

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.

Contenuti

Preface. 1. Spatio-Temporal Data Mining and Knowledge Discovery: Issues Overview; R. Ladner, F. Petry. 2. Indexing of Objects on the Move; S. Saltenis, C.S. Jensen. 3. Efficient Storage of Large Volume Spatial and Temporal Point-Data in an Object-Oriented Database; D. Olivier, R. Ladner, F. McCreedy, R. Wilson. 4. A Typology of Spatio-temporal Information Queries; May Yuan, J. McIntosh. 5. Visual Query of Time-Dependent 3D Weather in a Global Geospatial Environment; W. Ribarsky, N. Faust, Z. Wartell, C. Shaw, J. Jang. 6. STQL - A Spatio-Temporal Query Language; M. Erwig, M. Schneider. 7. TRIPOD: A Spatio-Historical Object Database System; T. Griffiths, A.A.A. Fernandes, N.W. Paton, Seung-Hyun Jeong, N. Djafri, K.T. Mason, Bo Huang, M. Worboys. 8. Spatio-Temporal Subgroup Discovery; W. Kl�sgen, M. May. Index.

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