Decision tree as knowledge management tool in image classification

Expert System has been grown so fast as a science that study how to make computer capable of solving problems that typically can only be solved by expert.It has been realized that the biggest challenge of developing expert system is the process include expert’s knowledge into the system.This resea...

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Main Authors: Kusrini, ,, Harjoko, Agus
Format: Conference or Workshop Item
Language:English
Published: 2008
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Online Access:http://repo.uum.edu.my/11323/1/190-195-CR104%281%29.pdf
http://repo.uum.edu.my/11323/
http://www.kmice.uum.edu.my
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spelling my.uum.repo.113232014-07-15T08:21:01Z http://repo.uum.edu.my/11323/ Decision tree as knowledge management tool in image classification Kusrini, , Harjoko, Agus T Technology (General) Expert System has been grown so fast as a science that study how to make computer capable of solving problems that typically can only be solved by expert.It has been realized that the biggest challenge of developing expert system is the process include expert’s knowledge into the system.This research tries to model expert’s knowledge management using case based reasoning method.The knowledge itself is not inputted directly by the expert, but rather the system will learn the knowledge from what the expert did to the previous cases.This research takes image classification as the problem to be solved.As the knowledge development technique, we build decision tree by using C4.5 algorithm.Variables used for building the decision tree are the image visual features. 2008-06-10 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/11323/1/190-195-CR104%281%29.pdf Kusrini, , and Harjoko, Agus (2008) Decision tree as knowledge management tool in image classification. In: Knowledge Management International Conference 2008 (KMICe2008), 10-12 June 2008, Langkawi, Malaysia. http://www.kmice.uum.edu.my
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Kusrini, ,
Harjoko, Agus
Decision tree as knowledge management tool in image classification
description Expert System has been grown so fast as a science that study how to make computer capable of solving problems that typically can only be solved by expert.It has been realized that the biggest challenge of developing expert system is the process include expert’s knowledge into the system.This research tries to model expert’s knowledge management using case based reasoning method.The knowledge itself is not inputted directly by the expert, but rather the system will learn the knowledge from what the expert did to the previous cases.This research takes image classification as the problem to be solved.As the knowledge development technique, we build decision tree by using C4.5 algorithm.Variables used for building the decision tree are the image visual features.
format Conference or Workshop Item
author Kusrini, ,
Harjoko, Agus
author_facet Kusrini, ,
Harjoko, Agus
author_sort Kusrini, ,
title Decision tree as knowledge management tool in image classification
title_short Decision tree as knowledge management tool in image classification
title_full Decision tree as knowledge management tool in image classification
title_fullStr Decision tree as knowledge management tool in image classification
title_full_unstemmed Decision tree as knowledge management tool in image classification
title_sort decision tree as knowledge management tool in image classification
publishDate 2008
url http://repo.uum.edu.my/11323/1/190-195-CR104%281%29.pdf
http://repo.uum.edu.my/11323/
http://www.kmice.uum.edu.my
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score 13.211869