An uncertain data classification method based on direct discriminant sequence mining
A technology of determining data and sequence mining, applied in data mining, electrical digital data processing, special data processing applications, etc., can solve problems such as uncertain sequence data and single data format
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[0068] The present invention will be further elaborated below in conjunction with the accompanying drawings of the description.
[0069] A kind of uncertain data classification method based on direct distinguishing sequence mining of the present invention comprises the following steps:
[0070] 1) Initialize the class label InitializeLabel(), give the class label set C{c 1 ,c 2 ,...,c n};
[0071] 2) Under the class label set, derive the minimum support threshold based on a given information gain threshold: min_sup=f(maxIG), that is, use the minimum support setting algorithm MinSupGen to find the minimum support threshold;
[0072] 3) Under the minimum support threshold, the pattern growth strategy based on prefix projection is used to enumerate subsequences and generate pattern candidates x:
[0073] x=PrefixSpanGrowth(X), X is the prefix projection sequence;
[0074] 4) Mining the distinguishing sequence in the generated pattern candidate x, using the IGMine algorithm a...
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