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Error-bounded Approximate Time Series Joins Using Compact Dictionary Representations of Time Series
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Error-bounded Approximate Time Series Joins Using Compact Dictionary Representations of Time Series

Chin-Chia Michael Yeh
Yan Zheng
Junpeng Wang
Huiyuan Chen
Zhongfang Zhuang
Wei Zhang
Eamonn Keogh
ArXiv (abs)PDFHTML

Papers citing "Error-bounded Approximate Time Series Joins Using Compact Dictionary Representations of Time Series"

3 / 3 papers shown
Title
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
R. Wu
Eamonn J. Keogh
AI4TS
66
203
0
29 Sep 2020
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
172
1,495
0
10 Jan 2019
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data
S. D. Antón
Lia Ahrens
Daniel Fraunholz
Hans D. Schotten
115
33
0
20 Sep 2018

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