Name
Abstract | ||
|---|---|---|
This paper presents an approach for mining spatiotemporal association rules. The proposed method is based on the computation of neighborhood relationships between geographic objects during a time interval. This kind of information is extracted from spatiotemporal database by the means of special mining queries enriched by time management parameters. The resulting spatiotemporal predicates are then processed by classical data mining tools in order to generate spatiotemporal association rules. |
Year | Venue | Keywords |
|---|---|---|
2011 | KDIR 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL | Spatiotemporal database,Topological relationships,Spatiotemporal data mining,Data mining query language |
Field | DocType | Citations |
Data mining,Computer science,Association rule learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hana Alouaoui | 1 | 0 | 1.01 |
| Sami Yassine Turki | 2 | 1 | 2.07 |
| Sami Faiz | 3 | 35 | 7.43 |