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مشاهده‌ مشخصات مقاله

XML Document Clustering Based on Common Tag Names Anywhere in the Structure

Authors
  • Mohamad Alishahi
  • Mehdi Ravakhah
  • Baharak Shakeriaski
  • Mahmud Naghibzade
Conference چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
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.
قیمت
  • برای اعضای سایت : 100,000 Rial
  • برای دانشجویان عضو انجمن : 20,000 Rial
  • برای اعضای عادی انجمن : 40,000 Rial

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