PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Osong Public Health and Research Perspectives10.1016/j.phrp.2015.01.006201562112-120Application of Gap-Constraints Given Sequential Frequent Pattern Mining for Protein Function PredictionHyeon Ah Park, Taewook Kim, Meijing Li, Ho Sun Shon, Jeong Seok Park, Keun Ho Ryuhttp://api.elsevier.com/content/article/PII:S2210909915000120?httpAccept=text/xml, http://api.elsevier.com/content/article/PII:S2210909915000120?httpAccept=text/plain
Encyclopedia of Database Systems10.1007/978-0-387-39940-9_265920091190-1190Frequent Pattern Mining with Constraintshttp://link.springer.com/content/pdf/10.1007/978-0-387-39940-9_2659
Applied Intelligence10.1007/s10489-021-02290-w2021Weighted frequent sequential pattern miningMd Ashraful Islam, Mahfuzur Rahman Rafi, Al-amin Azad, Jesan Ahammed Ovihttps://link.springer.com/content/pdf/10.1007/s10489-021-02290-w.pdf, https://link.springer.com/article/10.1007/s10489-021-02290-w/fulltext.html, https://link.springer.com/content/pdf/10.1007/s10489-021-02290-w.pdf
From Social Data Mining and Analysis to Prediction and Community Detection10.1007/978-3-319-51367-6_92017211-238Frequent and Non-frequent Sequential Itemsets DetectionKonstantinos F. Xylogiannopoulos, Panagiotis Karampelas, Reda Alhajjhttp://link.springer.com/content/pdf/10.1007/978-3-319-51367-6_9
Advanced Materials Research10.4028/www.scientific.net/amr.341-342.5302011341-342530-534An Efficient Algorithm for Sequential Pattern Mining with Time ConstraintsZai Ping Taohttps://www.scientific.net/AMR.341-342.530.pdf
Journal of Network and Computer Applications10.1016/j.jnca.2017.12.015201810521-62A sequential pattern mining model for application workload prediction in cloud environmentMaryam Amiri, Leyli Mohammad-Khanli, Raffaela Mirandolahttps://api.elsevier.com/content/article/PII:S1084804517304198?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1084804517304198?httpAccept=text/plain
Encyclopedia of Database Systems10.1007/978-0-387-39940-9_266120091190-1190Frequent Set Mining with Constraintshttp://link.springer.com/content/pdf/10.1007/978-0-387-39940-9_2661
Constraints10.1007/s10601-016-9252-z2016222265-306Prefix-projection global constraint and top-k approach for sequential pattern miningAmina Kemmar, Yahia Lebbah, Samir Loudni, Patrice Boizumault, Thierry Charnoishttp://link.springer.com/article/10.1007/s10601-016-9252-z/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10601-016-9252-z.pdf, http://link.springer.com/content/pdf/10.1007/s10601-016-9252-z, http://link.springer.com/content/pdf/10.1007/s10601-016-9252-z.pdf
Data Mining and Machine Learning10.1017/9781108564175.0102020217-218Frequent Pattern Mininghttps://www.cambridge.org/core/services/aop-cambridge-core/content/view/A0F40CE95E9717C397C8B12E9FFBB9CC
Encyclopedia of Algorithms10.1007/978-3-642-27848-8_722-120141-6Frequent Pattern MiningTakeaki Unohttp://link.springer.com/content/pdf/10.1007/978-3-642-27848-8_722-1