An efficient algorithm for mining periodic high-utility sequential patterns
Author:
Funder
NAFOSTED
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/article/10.1007/s10489-018-1227-x/fulltext.html
Reference40 articles.
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3. Amphawan K, Lenca P, Surarerks A (2009) Mining top-k periodic-frequent pattern from transactional databases without support threshold. In: Advances in information technology, pp 18–29. https://doi.org/10.1007/978-3-642-10392-6_3
4. Dinh T, Huynh V-N, Le B (2017) Mining periodic high utility sequential patterns. In: Asian conference on intelligent information and database systems. Springer, Berlin, pp 545–555. https://doi.org/10.1007/978-3-319-54472-4_51
5. Dinh T, Quang MN, Le B (2015). In: Proceedings of the sixth international symposium on information and communication technology. ACM, A novel approach for hiding high utility sequential patterns, pp 121–128. https://doi.org/10.1145/2833258.2833271
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