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Mining minimal distinguishing subsequence patterns with gap constraints

IEEE International Conference on Data Mining, no. 3 (2007): 259-286

Cited by: 181|Views144
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Abstract

Discovering contrasts between collections of data is an important task in data mining. In this paper, we introduce a new type of contrast pattern, called a Minimal Distinguishing Subsequence (MDS). An MDS is a minimal subsequence that occurs frequently in one class of sequences and infrequently in sequences of another class. It is a natur...More

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