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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alouaoui, H. Turki, S.Y. Faiz, S. |
| Copyright Year | 2012 |
| Description | Author affiliation: LTSIRS Laboratory of Remote Sensing and Spatial Information Systems ENIT National Engineering School of Tunis - Tunis El Manar University, Tunis, Tunisia (Alouaoui, H.; Turki, S.Y.; Faiz, S.) |
| Abstract | In this paper, we present our approach for mining spatiotemporal knowledge. The proposed method is based on the computation of neighborhood relationships between geographical objects during a time interval. This kind of information is non-explicitly stored in spatio-temporal database and is extracted by the means of special mining queries enriched by time management parameters. The general aim of our approach is to develop a method that utilizes the inherent structure of spatiotemporal information as well as its rich semantics to derive spatio-temporal association rules in order to improve the decision making process about land changes and resulting prohibited risks. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 125737 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467311670 |
| e-ISBN | 9781467311663 |
| DOI | 10.1109/ICITeS.2012.6216615 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-24 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spatio-temporal predicates Spatio-temporal data mining Cities and towns Spatial databases Spatiotemporal phenomena Rivers Association rules Data mining query languages Database languages |
| Content Type | Text |
| Resource Type | Article |
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