An iterative end point fitting based trend segmentation representation of time series and its distance measure

Author:

Chen Haiyan,Du Jinghan,Zhang Weining,Li Bohan

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference28 articles.

1. Baydogan MG, Runger G (2016) Time series representation and similarity based on local autopatterns. Data Mining and Knowledge Discovery 30(2):476–509

2. Castillo-Ortega R, Marín N, Martinez-Cruz C, Sánchez D (2014) A proposal for the hierarchical segmentation of time series. application to trend-based linguistic description. In: 2014 IEEE international conference on fuzzy systems (FUZZ-IEEE). IEEE, pp 489–496

3. Castillo-Ortega R, Marín N, Martínez-Cruz C, Sánchez D (2015) Linguistic comparison of time series using the end-point fit algorithm. In: 2015 IEEE international conference on Fuzzy systems (fuzz-IEEE). IEEE, pp 1–8

4. Chang X, Yang Y (2016) Semisupervised feature analysis by mining correlations among multiple tasks. IEEE Trans Neural Netw Learning Sys 28(10):2294–2305

5. Ding H, Trajcevski G, Scheuermann P, Wang X, Keogh EJ (2008) Querying and mining of time series data: experimental comparison of representations and distance measures. PVLDB 1:1542–1552

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