RECOGNITION DECISION-MAKING MODEL USING TEMPORAL DATA MINING TECHNIQUE

Authors

  • N. M. Norwawi Department of Computer Science, Faculty of Information Technology, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia.
  • K. R. Ku-Mahamud Department of Computer Science, Faculty of Information Technology, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia.
  • S. Denis Department of Software Engineering, Faculty of Computer Science & Information Science, Universiti Tehnology Malaysia, 83130 Skudai, Johor, Malaysia.

Keywords:

Naturalistic decision making, recognition decision-making, temporal data mining, rapid decision

Abstract

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 RPD (recognition-primed decision) 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.

 

Additional Files

Published

23-03-2005

How to Cite

Norwawi, N. M., Ku-Mahamud, K. R., & Denis, S. (2005). RECOGNITION DECISION-MAKING MODEL USING TEMPORAL DATA MINING TECHNIQUE. Journal of Information and Communication Technology, 4, 37–56. Retrieved from https://e-journal.uum.edu.my/index.php/jict/article/view/8051

Issue

Vol. 4 (2005): Journal of Information and Communication Technology (JICT) Vol. 4, 2005

Section

Articles