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RISS 인기검색어
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- 저자 : Alwesabi (검색결과 2 건)
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Feature Selection based on Rough Sets and Minimal Attribute Reduction Algorithm
Khaled Alwesabi,Weihua Gui,Chunhua Yang,Hamdi Rajeh 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.8
Numerous studies have focused on feature selection using many algorithms, but most of these algorithms encounter problems when the amount of data is large. In this paper, we propose an algorithm that handles a large amount of data by partitioning the data to process a reduction, and then selecting the intersection of all reducts as a stable reduct. This algorithm is successful but may suffer from loss of information if the samples are unsuitable. The proposed algorithm is based on discernibility matrix and function. Furthermore, the method can address the case in which the data consist of a significant amount of information. Our results show that the proposed algorithm is powerful and flexible enough to successfully target a range of different domains and can effectively reduce computational complexity as well as increase reduction efficiency. The efficiency of Proposed Algorithm is illustrated by experiments with UCI datasets further.
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Comparative Study of Two Approaches to Automatic Summarization of Arabic Documents
Weihua Gui,Khaled Alwesabi,Abdullah Ayedh 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.4
We present an automatic summarization of Arabic texts. In this context, two methods for automatic summarization of Arabic documents are proposed and comparatively analyzed. The first method is based on rhetorical structure theory RST that uses linguistic knowledge. The second method is based on digital learning theory that relies on mathematical rules. Both methods are implemented using the Arabic summarization RST ASRST and Arabic summarization digital learning ASDL systems. Thereafter, results obtained by the two systems are presented and a comparative study between the obtained results is conducted to highlight the advantages and limitations of each method. Evaluation results showed that the numerical approach has better performance than the symbolic approach, particularly when the texts are short. By contrast, the symbolic approach provides better result than the numerical approach when the texts are long.
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