Visualizing Association Rules of Analyzed XML Semantic Structured Text | ||||
| The Egyptian Journal of Language Engineering | ||||
| Article 2, Volume 1, Issue 2, September 2014, Page 11-18 PDF (856.51 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ejle.2014.59922 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Zaki Taha Fayed1; Mohamed M. Abdallah  2
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| 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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