Local Pair and Bundle Discovery over Co-Evolving Time Series-Reference-Cited by-同舟云学术

Local Pair and Bundle Discovery over Co-Evolving Time Series

Published:2019-08-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th International Symposium on Spatial and Temporal Databases
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Author:

Chatzigeorgakidis Georgios¹,Skoutas Dimitrios²,Patroumpas Kostas²,Palpanas Themis³,Athanasiou Spiros²,Skiadopoulos Spiros¹

Affiliation:

1. Dept. of Inf. & Telecommunications, University of Peloponnese, Greece

2. IMSI, Athena R.C., Greece

3. LIPADE, Paris Descartes University, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340964.3340982

Reference29 articles.

1. Reporting flock patterns

2. Yongjie Cai Hanghang Tong Wei Fan and Ping Ji. 2015. Fast mining of a network of coevolving time series. In SDM. 298--306. Yongjie Cai Hanghang Tong Wei Fan and Ping Ji. 2015. Fast mining of a network of coevolving time series. In SDM. 298--306.

3. Alessandro Camerra Themis Palpanas Jin Shieh and Eamonn J. Keogh. 2010. iSAX 2.0: Indexing and Mining One Billion Time Series. In ICDM. 10.1109/ICDM.2010.124 Alessandro Camerra Themis Palpanas Jin Shieh and Eamonn J. Keogh. 2010. iSAX 2.0: Indexing and Mining One Billion Time Series. In ICDM. 10.1109/ICDM.2010.124

4. Beyond one billion time series: indexing and mining very large time series collections with $$i$$ SAX2+

5. Kin-pong Chan and Ada Wai-Chee Fu. 1999. Efficient Time Series Matching by Wavelets. In ICDE. 126--133. Kin-pong Chan and Ada Wai-Chee Fu. 1999. Efficient Time Series Matching by Wavelets. In ICDE. 126--133.

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