원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.6 No.3
2012.07
pp.127-134
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Information repositories containing text data of different languages are abundant on the World Wide Web. Digital corpora of sacred text of Islam related to Quran containing Arabic language are also publicly available. The availability of these corpora and intelligent application to analyze them are vital to better comprehend the religious text of Islam. In this paper I propose a method of representing the Quranic text corpus as a graph, and apply a frequent sub-path mining algorithm on it to generate frequent patterns. I have explained how the resulting frequent patterns can be used for subjective indexing and clustering similar verses of Quran.
목차
Abstract
1. Introduction
1.1. Problem Statement
1.2. Proposed Solution
1.2. Significance of Mining Frequent Patterns
1.4. Related Work
2. AFS Algorithm
2.1. Frequent 0-Subpaths
2.2. Candidate Generation
2.3. Support Checking
3. Experimental Results
3.1. Grid Graph
3.2. Complete Graph
4. AFS Application to Quranic Arabic Text
5. Results
5.1. Subject Index
5.2. Verse Similarity
6. Conclusion and Future Work
References
1. Introduction
1.1. Problem Statement
1.2. Proposed Solution
1.2. Significance of Mining Frequent Patterns
1.4. Related Work
2. AFS Algorithm
2.1. Frequent 0-Subpaths
2.2. Candidate Generation
2.3. Support Checking
3. Experimental Results
3.1. Grid Graph
3.2. Complete Graph
4. AFS Application to Quranic Arabic Text
5. Results
5.1. Subject Index
5.2. Verse Similarity
6. Conclusion and Future Work
References
저자정보
참고문헌
자료제공 : 네이버학술정보