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

Download Full-text

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

Download Full-text

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 ◽

Download Full-text

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

Download Full-text

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

Download Full-text

Hydrological Time Series Anomaly Pattern Detection based on Isolation Forest

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) ◽

10.1109/itnec.2019.8729405 ◽

2019 ◽

Author(s):

Yu Qin ◽

YuanSheng Lou

Keyword(s):

Time Series ◽

Pattern Detection ◽

Anomaly Pattern ◽

Isolation Forest

Download Full-text

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

Download Full-text

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 ◽

Download Full-text

Research on Anomaly Pattern Detection in Hydrological Time Series

2017 14th Web Information Systems and Applications Conference (WISA) ◽

10.1109/wisa.2017.73 ◽

2017 ◽

Author(s):

Jianshu Sun ◽

Yuansheng Lou ◽

Feng Ye

Keyword(s):

Time Series ◽

Pattern Detection ◽

Anomaly Pattern

Download Full-text

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 ◽

Download Full-text

A cluster-based genetic approach for segmentation of time series and pattern discovery

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) ◽

10.1109/cec.2008.4631055 ◽

2008 ◽

Author(s):

Vincent S. Tseng ◽

Chun-Hao Chen ◽

Pai-Chieh Huang ◽

Tzung-Pei Hong

Keyword(s):

Time Series ◽

Pattern Discovery ◽

Genetic Approach

Download Full-text