Geo-event association rule discovery model based on rough set with marine fishery application
文献类型：会议论文
| 作者 | Su F. Z. ; Zhou C. H. ; Shi W. Z. ; Ieee |
| 出版日期 | 2004 |
| 关键词 | spatial data mining spatiotemporal association rule MGIS rough set marine fishery |
| 页码 | 1455-1458 |
| 英文摘要 | Vector-based association rule discovery models have been provided to look for spatial knowledge in terrestrial applications recently. Most of them just consider the attribution relationship of local space or the topological relationship between parcels or objects. And they are difficulty to consider the temporal change, distance relationship or direction relationship. In this presentation, an geo-event association rule discovery model(GEARDM) is developed, which is based on the spatiotemporal grid and rough set, and the experiment in marine fishery application is provided in support of the model. In GEARDM, the continuous spatiotemporal process is discretized by fuzzy pre-knowledge as spatiotemporal assignment and will be assigned into a decision table. The mining algorithm based on rough set results from the decision table in the geo-event association rules, which shows what kind of pattern of spatiotemporal assignment of environmental factors determine the happen or attribution of the geo_events. After the mined rules being analyzed by knowledge, the refined knowledge is obtained and the spatiotemporal assignment will be renewed. Then the flow of GEARDM feeds back to the phase of discretization and iterates until the final rules are reasonable. These knowledge-based rules also can be used in the expert System to predict the happen or the scale of geo-event as the experiments show. |
| 收录类别 | CPCI |
| 会议录出版者 | Ieee |
| 语种 | 英语 |
| ISBN号 | 0-7803-8742-2 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/25265]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Su F. Z.,Zhou C. H.,Shi W. Z.,et al. Geo-event association rule discovery model based on rough set with marine fishery application[C]. 见:. |
入库方式： OAI收割
来源：地理科学与资源研究所
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