RECOGNITION DECISION-MAKING MODEL USING TEMPORAL DATA MINING TECHNIQUE

被引：0
|
作者：
Norwawi, N. M. [1 ]
Ku-Mahamud, K. R. [1 ]
Deris, S. [2 ]
机构：
[1] Univ Utara Malaysia, Fac Informat Technol, Dept Comp Sci, Sintok 06010, Kedah, Malaysia
[2] Univ Tehnol Malaysia, Fac Comp Sci & Informat Sci, Dept Software Engn, Skudai 83130, Johor, Malaysia
来源：
JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY-MALAYSIA | 2005年 / 4卷
关键词：
Naturalistic decision making; recognition decision-making; temporal data mining; rapid decision;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：37 / 56
页数：20
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