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NegPSpan: efficient extraction of negative sequential patterns with embedding constraints
Such patterns inform about which events are frequently observed in sequences, i. e. what does really happen.
Efficiency Analysis of ASP Encodings for Sequential Pattern Mining Tasks
We propose encodings of the classical sequential pattern mining tasks within two representations of embeddings (fill-gaps vs skip-gaps) and for various kinds of patterns: frequent, constrained and condensed.
Mining relevant interval rules
This article extends the method of Garriga et al. for mining relevant rules to numerical attributes by extracting interval-based pattern rules.
Using Answer Set Programming for pattern mining
Serial pattern mining consists in extracting the frequent sequential patterns from a unique sequence of itemsets.
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