Experiments in Applying Advanced Data Mining and Integration to Hydro-Meteorological Scenarios

摘要：

We present the results of applying advanced data integration and data mining (DMI) technology, developed in the FP7 project ADMIRE, to a set of hydro-meteorological pilot scenarios. The DMI technology includes a data processing architecture and its implementation by a set of tools, and a new DMI process definition language called DISPEL. It is based on the popular OGSA-DAI framework. The pilot scenarios were defined by hydrological and meteorological experts and their aim is to try predict hydro-meteorological processes in cases, where standard physical models for the chosen geographical domain are not present, or give unsatisfactory results. The obtained results show that the application of ADMIRE DMI technology is beneficient to the domain experts.

作者: Ladislav Hluchy Ondrej Habala Peter Krammer Martin Seleng Viet Tran

作者单位: Institute of Informatics of the Slovak Academy of Sciences Dubravska cesta 9 84507 Bratislava, Slovakia

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(第一届空间数据挖掘与地理知识服务国际学术会议 ICSDM 2011)

会议地点: 福州

会议语种:英文

页码: 279-284

在线出版日期: 2011-06-29（万方平台首次上网日期，不代表论文的发表时间）