Segmenting Sound Waves to Support Phonocardiogram Analysis: The PCGseg Approach-Reference-Cited by-同舟云学术

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Segmenting Sound Waves to Support Phonocardiogram Analysis: The PCGseg Approach

Published:2018 Issue: Volume: Page:100-112
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Alhijailan Hajar,Coenen Frans,Dukes-McEwan Jo,Thiyagalingam Jeyarajan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-97310-4_12

Reference29 articles.

1. Bezruchko, B., Smirnov, D.: Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12601-7

2. Chiu, B., Keogh, E., Lonardi, S.: Probabilistic discovery of time series motifs. In: Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 493–498. ACM (2003)

3. Gao, Y., Lin, J., Rangwala, H.: Iterative grammar-based framework for discovering variable-length time series motifs. In: Proceedings of the 15th IEEE International Conference on Machine Learning and Applications (ICMLA 2017), pp. 111–116. IEEE (2017)

4. Serra, J., Arcos, J.: Cparticle swarm optimization for time series motif discovery. Knowl.-Based Syst. 92, 127–137 (2016)

5. Torkamani, S., Lohweg, V.: Survey on time series motif discovery. Wiley Interdiscip. Rev. Data Mining Knowl. Discov. 7(2), 1–8 (2017)

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. Effective Frequent Motif Discovery for Long Time Series Classification: A Study using Phonocardiogram;Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management;2019

2. Motif Discovery in Long Time Series: Classifying Phonocardiograms;Lecture Notes in Computer Science;2019

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