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Comparing three time series segmentation methods via novel ..:
, In:
2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)
,
Huynh Thi Thu Thuy
;
Anh, Duong Tuan
;
Vo Thi Ngoc Chau
- p. 171-176 , 2017
Link:
https://doi.org/10.1109/ICITISEE.2017.8285489
RT T1 <cTitle>2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)</cTitle>: T1 <Title>Comparing three time series segmentation methods via novel evaluation criteria</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8285489&Exemplar=1&LAN=DE A1 Huynh Thi Thu Thuy A1 Anh, Duong Tuan A1 Vo Thi Ngoc Chau YR 2017 K1 Time series analysis K1 Least squares approximation K1 Data mining K1 Approximation algorithms K1 Information technology K1 Information systems K1 Electrical engineering K1 time series segmentation K1 important extreme points K1 perceptually important points K1 polynomial least square approximation K1 evaluation criteria SP 171 OP 176 LK http://dx.doi.org/https://doi.org/10.1109/ICITISEE.2017.8285489 DO https://doi.org/10.1109/ICITISEE.2017.8285489 SF ELIB - SuUB Bremen
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