Efficient Rule Discovery in a National Drought Decision Support System∗

نویسندگان

  • Dan Li
  • Sherri Harms
  • Jitender Deogun
چکیده

This paper describes the application of data mining techniques in a National Drought 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.

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تاریخ انتشار 2002