ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth
ICDE '01 Proceedings of the 17th International Conference on Data Engineering
A new approach for discovering fuzzy quantitative sequential patterns in sequence databases
Fuzzy Sets and Systems
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In this paper, we consider the problem of mining sequentialpatterns with quantities. Naive extensions to existingalgorithms for sequential patterns are inefficient, as theymay enumerate the search space blindly. To alleviate thesituation, we propose hash filtering and quantity samplingtechniques that significantly improve the performance of thenaive extensions.