Generalized Chronicles for Temporal Sequence Classification-Reference-Cited by-同舟云学术

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Generalized Chronicles for Temporal Sequence Classification

Published:2020 Issue: Volume: Page:30-45
ISSN:0302-9743
Container-title:Advanced Analytics and Learning on Temporal Data
language:
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Author:

Dauxais Yann,Guyet Thomas

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-65742-0_3

Reference19 articles.

1. Asker, L., Boström, H., Karlsson, I., Papapetrou, P., Zhao, J.: Mining candidates for adverse drug interactions in electronic patient records. In: Proceedings of the International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), pp. 22:1–22:4 (2014)

2. Atzmueller, M.: Subgroup discovery. Wiley Interdisc. Rev. Data Min. Knowl. Disc. 5(1), 35–49 (2015)

3. Bringmann, B., Nijssen, S., Zimmermann, A.: Pattern-based classification: a unifying perspective. In: Proceedings of the LeGo Workshop “From Local Patterns to Global Models”, p. 10 (2009)

4. Cohen, W.W.: Fast effective rule induction. In: Proceedings of the International Conference on Machine Learning, pp. 115–123 (1995)

5. Cram, D., Mathern, B., Mille, A.: A complete chronicle discovery approach: application to activity analysis. Expert Syst. 29(4), 321–346 (2012)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Conclusion;Chronicles: Formalization of a Temporal Model;2023

2. Temporal Phenotyping for Characterisation of Hospital Care Pathways of COVID19 Patients;Advanced Analytics and Learning on Temporal Data;2021

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