مشاهده مشخصات مقاله
XML Document Clustering Based on Common Tag Names Anywhere in the Structure
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نویسنده (ها) |
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Mohamad Alishahi
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Mehdi Ravakhah
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Baharak Shakeriaski
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Mahmud Naghibzade
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
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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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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