Developing methodologies of knowledge discovery and data mining to investigate metropolitan land use evolution
文献类型：期刊论文
| 作者 | Shi, Yongliang; Liu, Jin; Wang, Rusong; Chen, Min |
| 刊名 | PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
 |
| 出版日期 | 2006 |
| 卷号 | 4099期号:1页码:787-796 |
| 关键词 | knowledge discovery data mining machine learning spatial and temporal reasoning |
| 英文摘要 | In the urban/territorial planning process, the quality of the evaluation procedure is crucial. It is necessary to select and implement innovative tools able to handle the huge amount of available data concerning territorial systems in order to extract useful information from them to enhance the quality of evaluation procedure for urban/territorial planning. This paper selects some tools derived from Artificial Intelligence, and incorporated GIS through the elaboration of various types of available data, to extract and build knowledge directly from experimental data and also to represent the extracted knowledge very effectively and communicatively, in the form of sets of spatial transformation rules. It describes the structure of the data mining tools which are most suitable for applications in the field of urban planning, aimed at discovering the transformation rules driving the evolution of cities in special of metropolitan in analysis. |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/22773]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Shi, Yongliang,Liu, Jin,Wang, Rusong,et al. Developing methodologies of knowledge discovery and data mining to investigate metropolitan land use evolution[J]. PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS,2006,4099(1):787-796. |
| APA | Shi, Yongliang,Liu, Jin,Wang, Rusong,&Chen, Min.(2006).Developing methodologies of knowledge discovery and data mining to investigate metropolitan land use evolution.PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS,4099(1),787-796. |
| MLA | Shi, Yongliang,et al."Developing methodologies of knowledge discovery and data mining to investigate metropolitan land use evolution".PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS 4099.1(2006):787-796. |
入库方式： OAI收割
来源：生态环境研究中心
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