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Author:

Li, Huimin (Li, Huimin.) | Fang, Liying (Fang, Liying.) | Wang, Pu (Wang, Pu.) | Liu, Jingwei (Liu, Jingwei.)

Indexed by:

CPCI-S

Abstract:

Aiming at the irregular and uneven feature of medical time series data, a novel algorithm based on piecewise slope transformation distance for short time series similarity measure is propose. We firstly do some preprocess based on algorithm for key points selected, make the data curve to zigzag shape, then, we measure the distance between two curves based on piecewise slope transformation algorithm. By experiments, conclusion can be draw that this new approach can measure distance rapidly and correctly, especially appropriate to short time series data.

Keyword:

Short Time Series Similarity Measure Data Mining Piecewise Slope Transformation Distance

Author Community:

  • [ 1 ] [Li, Huimin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Fang, Liying]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Wang, Pu]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Liu, Jingwei]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Li, Huimin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China

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Source :

PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012)

Year: 2012

Page: 691-695

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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