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 computati...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Journal |
| Published: |
Journal of Information and Communication Technology, Universiti Utara Malaysia
2005
|
| Subjects: | |
| Online Access: | http://www.myjurnal.my/public/article-view.php?id=3770 |
| id |
oai:www.myjurnal.my:3770 |
|---|---|
| recordtype |
eprints |
| spelling |
oai:www.myjurnal.my:37702018-09-20T00:00:00Z Recognition decision-making model using temporal data mining technique ZAINAB BINTI AWANG NGAH Computer sciences 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. Journal of Information and Communication Technology, Universiti Utara Malaysia Norwawi, N.M. 2005-00-00 Journal application/pdf 3770 www.myjurnal.my/filebank/published_article/39183.pdf www.myjurnal.my/public/article-view.php?id=3770 |
| repository_type |
Digital Repository |
| institution_category |
Local Institution |
| institution |
MyJournal |
| building |
MyJournal Repository |
| collection |
Online Access |
| topic |
Computer sciences |
| spellingShingle |
Computer sciences ZAINAB BINTI AWANG NGAH Recognition decision-making model using temporal data mining technique |
| description |
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. |
| author2 |
Norwawi, N.M. |
| author_facet |
Norwawi, N.M. ZAINAB BINTI AWANG NGAH |
| format |
Journal |
| author |
ZAINAB BINTI AWANG NGAH |
| author_sort |
ZAINAB BINTI AWANG NGAH |
| title |
Recognition decision-making model using temporal data mining technique |
| title_short |
Recognition decision-making model using temporal data mining technique |
| title_full |
Recognition decision-making model using temporal data mining technique |
| title_fullStr |
Recognition decision-making model using temporal data mining technique |
| title_full_unstemmed |
Recognition decision-making model using temporal data mining technique |
| title_sort |
recognition decision-making model using temporal data mining technique |
| publisher |
Journal of Information and Communication Technology, Universiti Utara Malaysia |
| publishDate |
2005 |
| url |
http://www.myjurnal.my/public/article-view.php?id=3770 |
| first_indexed |
2018-09-20T07:33:00Z |
| last_indexed |
2018-09-20T07:33:00Z |
| _version_ |
1612219282959106048 |