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The Application of Fuzzy Clustering in Auto-categorizing Webpages

Author: YanHaiBing
Tutor: CuiZhiMing
School: Suzhou University
Course: Applied Computer Technology
Keywords: Fuzzy Clustering Hyperlink analysis Search engine Web Clustering
CLC: TP391.3
Type: Master's thesis
Year: 2009
Downloads: 55
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Abstract


Information resources on the Web was the explosive growth of the people more and more difficult to find information . The search engine is the main tool for information using search engine shortcomings : only consider the importance of the evaluation web search engines rank web pages based on keyword matching , to the neglect of the classification ; dynamic analysis of a Web -based classified directory search engine is difficult information . Analysis of their lack of pre- build search engine with automatic sorting function , some key technologies in this respect and try to study . First, from the analysis of the type and operating principle of the search engine , analyzes the existing problems of the current search engine . Then fuzzy clustering analysis of Web documents and Web hyperlink analysis , on the basis of this study , further from the following three aspects of the page automatic classification technology to do the in-depth study : 1 ) fuzzy clustering method used in Web pages automatic classification classification categories established by calculating a similarity between pages and pages , dynamically determined web segments . 2) extract the expansion anchor text of the source page , landing pages feature recognition , specific analysis of the different position of the anchor text expansion , as well as take advantage of the the XPath page feature extraction method , and analyze its performance through experiments . Hyperlink analysis algorithm combined with automatic classification of search engine search results to set the adjustment value ) using fuzzy clustering method , take into account changes in the value of the value to consider the value of classification and PR , the results returned allows users to more quickly locate the require high - quality information.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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