Recognition decision-making model using temporal data mining technique

An accurate and timely decision is crucial in any emergency situation. This paper presents a recognition decision making model that adopts the temporal data mining approach in making decisions. Reservoir water level and rainfall measurement were used as the case study to test the developed computat...

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Main Authors: Md Norwawi, Norita, Ku-Mahamud, Ku Ruhana, Safaai, Deris
格式: Article
语言:English
出版: Universiti Utara Malaysia 2005
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在线阅读:http://repo.uum.edu.my/14/1/Norwawi_N.M.%2C_and_Ku_Mahamud_K.R.%2C_and_Deris_S.%2C_%282005%29_Reco.pdf
http://repo.uum.edu.my/14/
http://jict.uum.edu.my/
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总结:An accurate and timely decision is crucial in any emergency situation. This paper presents a recognition decision making model that adopts the temporal data mining approach in making decisions. Reservoir water level and rainfall measurement were used as the case study to test the developed computational recognition-primed decision (RPD) model in predicting the amount of water to be dispatched represented by the number of spillway gates. Experimental results indicated that new events can be predicted from historical events. Patterns were extracted and can be transformed into readable and descriptive rule based form.