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Because of a large number of micro-blog's junk posts, how to instantly browse hot topics in micro-blog is faced with severe challenges. We propose a new extraction algorithm of hot topics to remove the false hot topics. The algorithm sets a group of parameters what is a determine condition. Parameters contain word frequency, users' number, occurrence number, users' discrete degrees, and time distribution...
This paper presents a target classification based on fuzzy equivalence relation. Firstly, utilizing improved six invariant moments obtain the objective characteristic matrix. Secondly, a kind of feature weighting function is proposed, making the data classification more effective. Then a fuzzy equivalence relation based on weighted feature matrix can be constructed. Finally, using F statistic to determine...
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