模式识别与人工智能
Saturday, March 15, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2007, Vol. 20 Issue (2): 271-274    DOI:
Researches and Applications Current Issue| Next Issue| Archive| Adv Search |
Similarity Measuring Method in Time Series Based on Slope
ZHANG JianYe1, PAN Quan1, ZHANG Peng2, LIANG JianHai2
1.School of Automation, Northwestern Polytechnical University, Xi’an 710072
2.Engineering Institute, Air Force Engineering University, Xi’an 710038

Download: PDF (316 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  The similarity search in time series attracts much attention recently, and the similarity measuring method is one of the most important problems in this area. Aiming at the time series data with high dimension, multiproperty, noise and default, a similarity measuring method based on slope is proposed in this paper. Based on PLR, the method distributes the power among their slope differences so that its physical concept is more clear. The slope distance completely satisfies the basic rules of similarity measuring, and the example shows its validity.
Key wordsTime Series      Similarity      Slope      Measuring     
Received: 08 September 2005     
ZTFLH: TP13  
  TB114.2  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
ZHANG JianYe
PAN Quan
ZHANG Peng
LIANG JianHai
Cite this article:   
ZHANG JianYe,PAN Quan,ZHANG Peng等. Similarity Measuring Method in Time Series Based on Slope[J]. , 2007, 20(2): 271-274.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2007/V20/I2/271
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn