A Projected Upper Bound for Mining High Utility Patterns from Interval-Based Event Sequences
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42430-4_30
Reference19 articles.
1. Han, J., Cheng, H., Xin, D., Yan, X.: Frequent pattern mining: current status and future directions. Data Min. Knowl. Disc. 15(1), 55–86 (2007)
2. Studies in Big Data;P Fournier-Viger,2019
3. Wu, C.W., Lin, Y.F., Yu, P.S., Tseng, V.S.: Mining high utility episodes in complex event sequences. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, PP. 536–544. ACM (2013)
4. Studies in Big Data;T Truong-Chi,2019
5. Batal, I., Valizadegan, H., Cooper, G.F., Hauskrecht, M.: A temporal pattern mining approach for classifying electronic health record data. ACM Trans. Intell. Syst. Technol. (TIST) 4(4), 1–22 (2013)
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