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.
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
MLA
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
HARVARD
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
VANCOUVER
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
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