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The Egyptian Journal of Language Engineering
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Fayed, Z., Abdallah, M. (2014). Visualizing Association Rules of Analyzed XML Semantic Structured Text. The Egyptian Journal of Language Engineering, 1(2), 11-18. doi: 10.21608/ejle.2014.59922
Zaki Taha Fayed; Mohamed M. Abdallah. "Visualizing Association Rules of Analyzed XML Semantic Structured Text". The Egyptian Journal of Language Engineering, 1, 2, 2014, 11-18. doi: 10.21608/ejle.2014.59922
Fayed, Z., Abdallah, M. (2014). 'Visualizing Association Rules of Analyzed XML Semantic Structured Text', The Egyptian Journal of Language Engineering, 1(2), pp. 11-18. doi: 10.21608/ejle.2014.59922
Fayed, Z., Abdallah, M. Visualizing Association Rules of Analyzed XML Semantic Structured Text. The Egyptian Journal of Language Engineering, 2014; 1(2): 11-18. doi: 10.21608/ejle.2014.59922

Visualizing Association Rules of Analyzed XML Semantic Structured Text

Article 2, Volume 1, Issue 2, September 2014, Page 11-18  XML PDF (856.51 K)
Document Type: Original Article
DOI: 10.21608/ejle.2014.59922
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Authors
Zaki Taha Fayed1; Mohamed M. Abdallah email 2
1Faculty of Computer and Information Technology, Ain Shams University
2Computer Science Department at Faculty of Science, Minia University, Egypt.
Abstract
No doubt that the whopping size of the available information on the internet gets the user quite confused when he deals
with that bulk of information. The new mining techniques are built to solve that problem and to enable the user to get and
understand the information patterns; one of these techniques is information visualization. In this paper a new information
visualization model is built upon the results of the association rule technique which is implemented on the XML text-based
documents. End results show that in the future we can perceive enormous size of information and get its hidden knowledge in
small time.
Keywords
XML; Information Visualization; classification; Association Rules
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PDF Download: 327
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