XML Document Clustering Based on Common Tag Names Anywhere in the Structure
Publish place: 14th annual International CSI Computer Conference
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSICC14_065
تاریخ نمایه سازی: 24 خرداد 1388
Abstract:
One of the most effective ways to extract knowledge from large information resources is applying data mining methods. Since the amount of information on the Internet is exploding, using XML documents is common as they have many advantages. Knowledge extraction from XML documents is a way to provide more utilizable results. XCLS is one of the most efficient algorithms for XML documents clustering. In this paper we represent a new algorithm for clustering XML documents. This algorithm is an improvement over XCLS algorithm which tries to obviate its problems. We implemented both algorithms and evaluated their clustering quality and running time on the same data sets. In both cases, it is shown that the performance of the new algorithm is better.
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Authors
Mohamad Alishahi
Islamic Azad University Mashhad Branch
Mehdi Ravakhah
Islamic Azad University Mashhad Branch
Baharak Shakeriaski
Islamic Azad University Ramsar Branch
Mahmud Naghibzade
Ferdowsi university of Mashhad Computer Department