A segmentation based similarity measure for time series data

被引：0

作者：

Mishra, Kakuli ^{[1
]}

Basu, Srinka ^{[2
]}

Maulik, Ujjwal ^{[1
]}

机构：

[1] Jadavpur Univ, Kolkata, W Bengal, India

[2] Kalyani Univ, Kalyani, W Bengal, India

来源：

PROCEEDINGS OF THE 7TH ACM IKDD CODS AND 25TH COMAD (CODS-COMAD 2020) | 2020年

关键词：

Dynamic Time Warping; Time series patterns; Segmentation; DEMAND-SIDE MANAGEMENT;

D O I：

10.1145/3371158.3371221

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Focusing on the objectives of Demand Side Management (DSM), we propose a novel time series distance metric that better capture the information related to similar peaks/off-peaks. The proposed metric uses autocorrelation based segmentation and similar segment identification for computation of overall distance. Experiment shows the proposed distance advances the state-of-the-art.

引用

页码：351 / 352

页数：2

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