Time series pattern discovery by a PIP-based evolutionary approach

Soft Computing ◽

10.1007/s00500-013-0985-y ◽

2013 ◽

Vol 17 (9) ◽

pp. 1699-1710 ◽

Author(s):

Chun-Hao Chen ◽

Vincent S. Tseng ◽

Hsieh-Hui Yu ◽

Tzung-Pei Hong

Keyword(s):

Time Series ◽

Pattern Discovery ◽

Evolutionary Approach

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A PIP-based evolutionary approach for time series segmentation and pattern discovery

2010 International Computer Symposium (ICS2010) ◽

10.1109/compsym.2010.5685420 ◽

2010 ◽

Author(s):

Hsieh-Hui Yu ◽

Vincent S. Tseng ◽

Chun-Hao Chen ◽

Tzung-Pei Hong

Keyword(s):

Time Series ◽

Pattern Discovery ◽

Evolutionary Approach ◽

Time Series Segmentation

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Subsequence time series (STS) clustering techniques for meaningful pattern discovery

International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2005. ◽

10.1109/kimas.2005.1427109 ◽

2006 ◽

Author(s):

K.A. Peker

Keyword(s):

Time Series ◽

Pattern Discovery ◽

Clustering Techniques

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Assessment and Adaption of Pattern Discovery Approaches for Time Series Under the Requirement of Time Warping

Intelligent Data Engineering and Automated Learning – IDEAL 2018 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-03493-1_31 ◽

2018 ◽

pp. 285-296

Author(s):

Fabian Kai-Dietrich Noering ◽

Konstantin Jonas ◽

Frank Klawonn

Keyword(s):

Time Series ◽

Pattern Discovery ◽

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A Pattern Distance-Based Evolutionary Approach to Time Series Segmentation

Intelligent Control and Automation - Lecture Notes in Control and Information Sciences ◽

10.1007/978-3-540-37256-1_99 ◽

2006 ◽

pp. 797-802 ◽

Author(s):

Jingwen Yu ◽

Jian Yin ◽

Duanning Zhou ◽

Jun Zhang

Keyword(s):

Time Series ◽

Evolutionary Approach ◽

Time Series Segmentation

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Similarity Pattern Discovery Using Calendar Concept Hierarchy in Time Series Data

Advanced Web Technologies and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-540-24655-8_61 ◽

2004 ◽

pp. 565-571 ◽

Author(s):

Sungbo Seo ◽

Long Jin ◽

Jun Wook Lee ◽

Keun Ho Ryu

Keyword(s):

Time Series ◽

Time Series Data ◽

Pattern Discovery ◽

Series Data ◽

Concept Hierarchy ◽

Similarity Pattern

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Time Series Pattern Discovery by Deep Learning and Graph Mining

10.1007/978-3-030-87101-7_19 ◽

2021 ◽

pp. 192-201

Author(s):

Alex Romanova

Keyword(s):

Time Series ◽

Deep Learning ◽

Graph Mining ◽

Pattern Discovery

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Fractal-based Algorithm for Anomaly Pattern Discovery on Time Series Stream

Journal of Convergence Information Technology ◽

10.4156/jcit.vol6.issue3.20 ◽

2011 ◽

Vol 6 (3) ◽

pp. 181-187 ◽

Author(s):

Guiling Li ◽

Yuanzhen Wang ◽

Shuhua Gu ◽

Xiaolian Zhu

Keyword(s):

Time Series ◽

Pattern Discovery ◽

Anomaly Pattern

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Study on algorithm of dependent pattern discovery of multiple time series data stream

2011 International Conference on Computer Science and Service System (CSSS) ◽

10.1109/csss.2011.5974880 ◽

2011 ◽

Author(s):

Shenghai Zhong ◽

Wang Gang

Keyword(s):

Time Series ◽

Data Stream ◽

Time Series Data ◽

Pattern Discovery ◽

Series Data ◽

Multiple Time ◽

Multiple Time Series

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Pattern discovery in motion time series via structure-based spectral clustering

2008 IEEE Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2008.4587385 ◽

2008 ◽

Author(s):

Xiaozhe Wang ◽

Liang Wang ◽

Anthony Wirth

Keyword(s):

Time Series ◽

Spectral Clustering ◽

Pattern Discovery ◽

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Review spam detection via time series pattern discovery

Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion ◽

10.1145/2187980.2188164 ◽

2012 ◽

Author(s):

Sihong Xie ◽

Guan Wang ◽

Shuyang Lin ◽

Philip S. Yu

Keyword(s):

Time Series ◽

Pattern Discovery ◽

Spam Detection ◽

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