Efficient rule discovery in a geo-spatial decision support system
Sherri K. Harms, Dan Li, Jitender S. Deogun, Tsegaye Ayele Tadesse · 2002
This paper describes the application of data mining techniques in a Geo-spatial Decision Support System, which focuses on drought risk management. Association rule discovery is one of the widely used approaches in data mining. This paper highlights the rule discovery algorithms that we have developed and used for discovering useful patterns in ocean parameters and climatic indices to monitor drought.