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Mining sequential patterns with constraints in large databases
2002
Proceedings of the eleventh international conference on Information and knowledge management - CIKM '02
Constraints are essential for many sequential pattern mining applications. However, there is no systematic study on constraint-based sequential pattern mining. In this paper, we investigate this issue and point out that the framework developed for constrained frequent-pattern mining does not fit our missions well. An extended framework is developed based on a sequential pattern growth methodology. Our study shows that constraints can be effectively and efficiently pushed deep into sequential
doi:10.1145/584796.584799
fatcat:to5ls552fvfopnlptkm5u7b6na