Knowledge discovery from area-class resource maps: Capturing prototype effects
文献类型：EI期刊论文
| 作者 | Qin Chengzhi; Pei Tao |
| 发表日期 | 2008 |
| 关键词 | Conformal mapping Data mining Decision support systems Information management Maps Mining Optical projectors |
| 英文摘要 | This paper presents a knowledge discovery approach to extracting knowledge from area-class resource maps. Prototype theory forms the basis of the approach which consists of two major components: (1) a scheme for organizing knowledge used in categorizing geographic entities which allows for the modeling of indeterminate boundaries and non-uniform memberships within categories; and (2) a data mining method using the Expectation Maximization (EM) algorithm for extracting such knowledge from area-class maps. A case study on knowledge discovery from a soil map demonstrates the details of the approach. The study shows that knowledge for classifying geographic entities with indeterminate boundaries is embedded in area-class maps and can be extracted through data mining; and that continuous spatial variation of geographic entities can be better modeled if the knowledge discovery process retains knowledge of within-class variations as well as transitions between classes. |
| 出处 | Cartography and Geographic Information Science
 |
| 卷 | 35期:4页:223-237 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/24664]  |
| 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 | Qin Chengzhi,Pei Tao. Knowledge discovery from area-class resource maps: Capturing prototype effects. 2008. |
入库方式： OAI收割
来源：地理科学与资源研究所
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