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Dempster-Shafer Theory(DST) is an effective method for dealing with multi-sensor information. However, the results may be contrary to intuition when dealing with the highly conflicting evidence. In order to efficiently overcome the shortcomings of DST, a new improved DST combination rule based on evidence distance and local conflict distribution strategy is proposed. Firstly, the mutual support degree...
Overlapping ambiguity is a kind of ambiguity phenomena in the Chinese word segmentation. Up to now, the researches on overlapping ambiguity always focused on the 3-character overlapping ambiguity strings. In this paper the distribution and forms of overlapping ambiguity strings are discussed empirically. In order to deal with the overlapping ambiguity strings in different forms synchronously, a conditional...
This paper uses data mining classification algorithms--C5.0 and CART algorithms to get useful information to decision-making out of customerspsila transaction behaviors. Firstly, by business understanding, data understanding and data preparing, modeling and evaluating we get the results of the two algorithms and by comparing the results ,we know that the two algorithms can both be applied in the customer...
In this paper, we try to select features based on attribute clustering without knowing the exact cluster numbers in advance. A similarity measure for a pair of attributes is first described, and an attribute clustering approach based on the CAST algorithm is then proposed to group the attributes into adequate number of clusters. The representative attributes found in the clusters are thus used for...
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