Improving knowledge extraction of Hadith classifier using decision tree algorithm
Decision tree algorithms have the ability to deal with missing values. While this ability is considered to be advantage, the extreme effort which is required to achieve it is considered a drawback. With the missing values the correct branch could be missed. Therefore, enhanced mechanisms must be emp...
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2012
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| Online Access: | http://irep.iium.edu.my/30813/ http://irep.iium.edu.my/30813/ http://irep.iium.edu.my/30813/ http://irep.iium.edu.my/30813/1/06205024.pdf |
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iium-308132014-12-08T07:37:41Z http://irep.iium.edu.my/30813/ Improving knowledge extraction of Hadith classifier using decision tree algorithm Aldhaln, Kawther Zeki, Akram M. Zeki, Ahmed M. Alreshidi, Hamad T Technology (General) Decision tree algorithms have the ability to deal with missing values. While this ability is considered to be advantage, the extreme effort which is required to achieve it is considered a drawback. With the missing values the correct branch could be missed. Therefore, enhanced mechanisms must be employed to handle these values. Moreover, ignoring these null values may cause critical decision to user. Especially for the cases that belong to religion. The present study proposed Hadith classifier which is a method to classify such Hadith into four major classes Sahih, Hasan, Da'ef and Maudo' according to the status of its Isnad ( narrators chain ). This research provided a novel mechanism to deal with missing data in Hadith database. The experiment applied C4.5 algorithm to extract the rules of classification. The findings showed that the accurate rate of the naïvebyes classifier has been improved by the proposed approach with 46.54%. Meanwhile, DT classifier had achieved 0.9% better than naïvebyes classifier. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/30813/1/06205024.pdf Aldhaln, Kawther and Zeki, Akram M. and Zeki, Ahmed M. and Alreshidi, Hamad (2012) Improving knowledge extraction of Hadith classifier using decision tree algorithm. In: International Conference on Information Retrieval & Knowledge Management (CAMP), 2012, 13-15 March 2012, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/InfRKM.2012.6205024 doi:10.1109/InfRKM.2012.6205024 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Aldhaln, Kawther Zeki, Akram M. Zeki, Ahmed M. Alreshidi, Hamad Improving knowledge extraction of Hadith classifier using decision tree algorithm |
| description |
Decision tree algorithms have the ability to deal with missing values. While this ability is considered to be advantage, the extreme effort which is required to achieve it is considered a drawback. With the missing values the correct branch could be missed. Therefore, enhanced mechanisms must be employed to handle these values. Moreover, ignoring these null values may cause critical decision to user. Especially for the cases that belong to religion. The present study proposed Hadith classifier which is a method to classify such Hadith into four major classes Sahih, Hasan, Da'ef and Maudo' according to the status of its Isnad ( narrators chain ). This research provided a novel mechanism to deal with missing data in Hadith database. The experiment applied C4.5 algorithm to extract the rules of classification. The findings showed that the accurate rate of the naïvebyes classifier has been improved by the proposed approach with 46.54%. Meanwhile, DT classifier had achieved 0.9% better than naïvebyes classifier. |
| format |
Conference or Workshop Item |
| author |
Aldhaln, Kawther Zeki, Akram M. Zeki, Ahmed M. Alreshidi, Hamad |
| author_facet |
Aldhaln, Kawther Zeki, Akram M. Zeki, Ahmed M. Alreshidi, Hamad |
| author_sort |
Aldhaln, Kawther |
| title |
Improving knowledge extraction of Hadith classifier using decision tree algorithm |
| title_short |
Improving knowledge extraction of Hadith classifier using decision tree algorithm |
| title_full |
Improving knowledge extraction of Hadith classifier using decision tree algorithm |
| title_fullStr |
Improving knowledge extraction of Hadith classifier using decision tree algorithm |
| title_full_unstemmed |
Improving knowledge extraction of Hadith classifier using decision tree algorithm |
| title_sort |
improving knowledge extraction of hadith classifier using decision tree algorithm |
| publishDate |
2012 |
| url |
http://irep.iium.edu.my/30813/ http://irep.iium.edu.my/30813/ http://irep.iium.edu.my/30813/ http://irep.iium.edu.my/30813/1/06205024.pdf |
| first_indexed |
2023-09-18T20:45:03Z |
| last_indexed |
2023-09-18T20:45:03Z |
| _version_ |
1777409618798968832 |