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Text clustering is a hot and essential topic in data mining and information retrieval. This paper proposed a KP-FCM clustering method, which used the key phrases as text features and applied the Fuzzy c-means (FCM) as clustering algorithm. In this method, key phrases were extracted by an algorithm based on suffix array. Experimental results on two standard text clustering benchmark corpuses, OHSUMED...
The World Wide Web has become the default knowledge resource for many areas of endeavor, organizations need to understand their customers' behavior, preferences, and future need, but when users browsing the Web site, many factors affect their interesting, and different factor has different degree of influence, the more factors we consider, the more precisely can mirror the user's interest. This paper...
The World Wide Web is a major source of the news now. The news analysis play more and more important roles in the political decision, financial analysis, invest decision, market forecast and so on. This paper proposes a news analysis system based on the hall for workshop of metasynthetic engineering. In this system, in order to analyses online news, the news articles are active fetched, and being...
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