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A Problem Oriented Approach to Data Mining in Distributed Spatio-temporal Database.
- Source :
- Computational Science: ICCS 2007 (9783540725879); 2007, p653-660, 8p
- Publication Year :
- 2007
-
Abstract
- Recently, a fast increment of spatio-temporal data volume has been achieved and more importantly the data might distribute everywhere. So, there is a need for spatio-temporal data mining systems that are able to support such distributed spatio-temporal query and analysis operations. Distributed spatio-temporal data mining technologies were discussed in this paper. After discussing the process of spatio-temporal data mining in distributed environment, one actual DSTDMS (Distributed Spatio-Temporal Data Mining System) was designed and then implemented. The system is based on data model of sequent snapshot and accomplished through spatio-temporal extension on PostgreSQL. Various spatio-temporal analyses and mining queries could be carried out in the system through simple SQL statements. By using the system, effective mining of distributed spatio-temporal data were achieved. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540725879
- Database :
- Complementary Index
- Journal :
- Computational Science: ICCS 2007 (9783540725879)
- Publication Type :
- Book
- Accession number :
- 33155314
- Full Text :
- https://doi.org/10.1007/978-3-540-72588-6_111