Mining Spatio-temporal Information Systems

. Ed(s): Ladner, Roy; Shaw, Kevin; Abdelguerfi, Mahdi

ISBN 10: 1402071701 / ISBN 13: 9781402071706

Editore: Kluwer Academic Publishers, 2002

Riguardo questo articolo

Addresses the many issues in support of modeling, creation, querying, visualizing and mining. This title brings together a coherent body of knowledge relating to STIS data modeling, design, implementation and STIS in knowledge discovery. It lets the reader exposed to the various techniques for the practical design of STIS. Editor(s): Ladner, Roy; Shaw, Kevin; Abdelguerfi, Mahdi. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 170 pages, biography. BIC Classification: UN; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 12. Weight in Grams: 438. . 2002. Hardback. . . . . Books ship from the US and Ireland.

Codice articolo V9781402071706

Dati bibliografici

• Titolo: Mining Spatio-temporal Information Systems
• Editore: Kluwer Academic Publishers
• 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. Klösgen, M. May. Index.