Mining Spatio-temporal Association Rules, Sources, Sinks, Stationary Regions and Thoroughfares in Object Mobility Databases
- 1 January 2006
- book chapter
- Published by Springer Nature in Lecture Notes in Computer Science
- p. 187-201
- https://doi.org/10.1007/11733836_15
Abstract
No abstract availableThis publication has 8 references indexed in Scilit:
- Mining Spatio-temporal Association Rules, Sources, Sinks, Stationary Regions and Thoroughfares in Object Mobility DatabasesLecture Notes in Computer Science, 2006
- Mining, indexing, and querying historical spatiotemporal dataPublished by Association for Computing Machinery (ACM) ,2004
- Mining confident co-location rules without a support thresholdPublished by Association for Computing Machinery (ACM) ,2003
- Discovering calendar-based temporal association rulesData & Knowledge Engineering, 2003
- Efficient Mining of Spatiotemporal PatternsLecture Notes in Computer Science, 2001
- Discovering Spatial Co-location Patterns: A Summary of ResultsLecture Notes in Computer Science, 2001
- An approach to discovering temporal association rulesPublished by Association for Computing Machinery (ACM) ,2000
- Probabilistic counting algorithms for data base applicationsJournal of Computer and System Sciences, 1985