A Subsequence Interleaving Model for Sequential Pattern Mining

16 Feb 2016 Jaroslav Fowkes Charles Sutton

Recent sequential pattern mining methods have used the minimum description length (MDL) principle to define an encoding scheme which describes an algorithm for mining the most compressing patterns in a database. We present a novel subsequence interleaving model based on a probabilistic model of the sequence database, which allows us to search for the most compressing set of patterns without designing a specific encoding scheme... (read more)

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