Time-Series Data Mining in a Geospatial Decision Support

This paper presents an overview of the motivation for, and the use of time-series data mining in, a Geospatial Decision Support System (GDSS). Our approach is based on a combination of time-series data mining algorithms and spatial interpolation techniques. The initial focus of the system is to facilitate drought risk management. We develop two association rule mining algorithms and two interpolation methods, which help drought experts predict local weather conditions or potential yield impact based on the global weather patterns.

• Type: Conference
• Year: 2003
• Where: DGO
• Authors: Dan Li, Sherri K. Harms, Steve Goddard, William J. Waltman, Jitender S. Deogun
• Keywords: Data Mining Algorithms, DGO 2003, DGO 2007, Mining Algorithms, Time-series Data Mining