A Fast Framework for Abrupt Change Detection Based on Binary Search Trees and Kolmogorov Statistic

Change-Point (CP) detection has attracted considerable attention in the fields of data mining and statistics; it is very meaningful to discuss how to quickly and efficiently detect abrupt change from large-scale bioelectric signals. Currently, most of the existing methods, like Kolmogorov-Smirnov (K...

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Detalles Bibliográficos
Autores principales: Qi, Jin-Peng, Qi, Jie, Zhang, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928006/
https://www.ncbi.nlm.nih.gov/pubmed/27413364
http://dx.doi.org/10.1155/2016/8343187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928006/
https://www.ncbi.nlm.nih.gov/pubmed/27413364
http://dx.doi.org/10.1155/2016/8343187

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