Generation of explicit knowledge from temporal data

Expert decisions are usually based on experience knowledge regarding the decision environments. However due to the mobility or high turn-over of expert whether due to promotion, resignation or other reasons, there is a need to capture expert knowledge especially those involved critical decision.This...

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Main Authors: Md. Norwawi, Norita, Ku-Mahamud, Ku Ruhana, Deris, Safaai
Format: Conference or Workshop Item
Language:English
Published: 2004
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/3402/1/Ku.pdf
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author Md. Norwawi, Norita
Ku-Mahamud, Ku Ruhana
Deris, Safaai
author_facet Md. Norwawi, Norita
Ku-Mahamud, Ku Ruhana
Deris, Safaai
author_sort Md. Norwawi, Norita
collection UUM
description Expert decisions are usually based on experience knowledge regarding the decision environments. However due to the mobility or high turn-over of expert whether due to promotion, resignation or other reasons, there is a need to capture expert knowledge especially those involved critical decision.This paper will describe an approach of capturing expert knowledge through past operation data. An explicit knowledge extraction technique from temporal data representing reservoir operation will be presented.Rules regarding decision on the number of spillway gates to be open to release excess water from the dam will be discovered from the historical data. Temporal information related to a decision will be captured through sliding window method and classified into unique decision classes. This information can be transformed into decision rules for easy interpretation and understanding. These rules can be hrther use to guide future operation decisions.
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spelling uum-34022015-05-12T02:48:34Z https://repo.uum.edu.my/id/eprint/3402/ Generation of explicit knowledge from temporal data Md. Norwawi, Norita Ku-Mahamud, Ku Ruhana Deris, Safaai QA76 Computer software Expert decisions are usually based on experience knowledge regarding the decision environments. However due to the mobility or high turn-over of expert whether due to promotion, resignation or other reasons, there is a need to capture expert knowledge especially those involved critical decision.This paper will describe an approach of capturing expert knowledge through past operation data. An explicit knowledge extraction technique from temporal data representing reservoir operation will be presented.Rules regarding decision on the number of spillway gates to be open to release excess water from the dam will be discovered from the historical data. Temporal information related to a decision will be captured through sliding window method and classified into unique decision classes. This information can be transformed into decision rules for easy interpretation and understanding. These rules can be hrther use to guide future operation decisions. 2004 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/3402/1/Ku.pdf Md. Norwawi, Norita and Ku-Mahamud, Ku Ruhana and Deris, Safaai (2004) Generation of explicit knowledge from temporal data. In: Knowledge Management International Conference and Exhibition 2004 (KMICE 2004) , 14-15 February 2004, Evergreen Laurel Hotel, Penang . http://www.kmice.cms.net.my
spellingShingle QA76 Computer software
Md. Norwawi, Norita
Ku-Mahamud, Ku Ruhana
Deris, Safaai
Generation of explicit knowledge from temporal data
title Generation of explicit knowledge from temporal data
title_full Generation of explicit knowledge from temporal data
title_fullStr Generation of explicit knowledge from temporal data
title_full_unstemmed Generation of explicit knowledge from temporal data
title_short Generation of explicit knowledge from temporal data
title_sort generation of explicit knowledge from temporal data
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/3402/1/Ku.pdf
work_keys_str_mv AT mdnorwawinorita generationofexplicitknowledgefromtemporaldata
AT kumahamudkuruhana generationofexplicitknowledgefromtemporaldata
AT derissafaai generationofexplicitknowledgefromtemporaldata