Spatio-Temporal Data Mining for Typhoon Image Collection
Journal of Intelligent Information Systems
Looking Backward, Forward, and All Around: Temporal, Spatial, and Spatio-Temporal Data Mining
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Temporal Objects for Spatio-Temporal Data Models and a Comparison of Their Representations
ER '98 Proceedings of the Workshops on Data Warehousing and Data Mining: Advances in Database Technologies
A Study on a Spatio-Temporal Data Structure for Managing Video Data from Monitoring Cameras
AINA '03 Proceedings of the 17th International Conference on Advanced Information Networking and Applications
A framework for diagnosing changes in evolving data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
A symbolic representation of time series, with implications for streaming algorithms
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Building knowledge discovery into a geo-spatial decision support system
Proceedings of the 2003 ACM symposium on Applied computing
Modeling spatial-temporal data with a short observation history
Knowledge and Information Systems
Efficient detection of motion patterns in spatio-temporal data sets
Proceedings of the 12th annual ACM international workshop on Geographic information systems
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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.