Modelling Recurrent Events for Improving Online Change Detection

Proceedings of the 2016 SIAM International Conference on Data Mining ◽

10.1137/1.9781611974348.62 ◽

2016 ◽

Author(s):

Alexandr Maslov ◽

Mykola Pechenizkiy ◽

Indreė Žliobaitė ◽

Tommi Kärkkäinen

Keyword(s):

Change Detection ◽

Recurrent Events ◽

Online Change Detection

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An online change detection test for parametric discrete-time stochastic processes

Sequential Analysis ◽

10.1080/07474946.2018.1466540 ◽

2018 ◽

Vol 37 (2) ◽

pp. 246-267

Author(s):

Fanni K. Nedényi

Keyword(s):

Change Detection ◽

Stochastic Processes ◽

Discrete Time ◽

Online Change Detection

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A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series

Proceedings of the 2011 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972818.9 ◽

2011 ◽

Author(s):

Varun Chandola ◽

Ranga Raju Vatsavai

Keyword(s):

Time Series ◽

Change Detection ◽

Gaussian Process ◽

Detection Algorithm ◽

Periodic Time Series ◽

Online Change Detection

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Online change detection in individual web user behaviour

Proceeding of the 17th international conference on World Wide Web - WWW '08 ◽

10.1145/1367497.1367704 ◽

2008 ◽

Author(s):

Peter I. Hofgesang ◽

Jan Peter Patist

Keyword(s):

Change Detection ◽

User Behaviour ◽

Online Change Detection

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Parameter Optimization for Online Change Detection in Activity Monitoring Using Multivariate Exponentially Weighted Moving Average (MEWMA)

Lecture Notes in Computer Science - Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information ◽

10.1007/978-3-319-26401-1_5 ◽

2015 ◽

pp. 50-59 ◽

Author(s):

Naveed Khan ◽

Sally McClean ◽

Shuai Zhang ◽

Chris Nugent

Keyword(s):

Change Detection ◽

Parameter Optimization ◽

Moving Average ◽

Activity Monitoring ◽

Exponentially Weighted Moving Average ◽

Online Change Detection ◽

Weighted Moving Average ◽

Exponentially Weighted

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Online change detection techniques in time series: An overview

2019 IEEE International Conference on Prognostics and Health Management (ICPHM) ◽

10.1109/icphm.2019.8819394 ◽

2019 ◽

Author(s):

Bernadin Namoano ◽

Andrew Starr ◽

Christos Emmanouilidis ◽

Ruiz Carcel Cristobal

Keyword(s):

Time Series ◽

Change Detection ◽

Detection Techniques ◽

Online Change Detection

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A Forecasting Approach to Online Change Detection in Land Cover Time Series

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2019.2905594 ◽

2019 ◽

Vol 12 (5) ◽

pp. 1451-1460

Author(s):

Willem C. Olding ◽

Jan C. Olivier ◽

Brian P. Salmon ◽

Waldo Kleynhans

Keyword(s):

Time Series ◽

Change Detection ◽

Online Change Detection

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Statistical analysis and algorithms for online change detection in real-time psychophysiological data

10.17077/etd.lxs0xa4u ◽

2009 ◽

Author(s):

Jordan Cannon

Keyword(s):

Statistical Analysis ◽

Change Detection ◽

Real Time ◽

Psychophysiological Data ◽

Online Change Detection

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Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping

2015 IEEE International Conference on Data Mining Workshop (ICDMW) ◽

10.1109/icdmw.2015.237 ◽

2015 ◽

Author(s):

Xi C. Chen ◽

Vipin Kumar ◽

James H Faghmous

Keyword(s):

Time Series ◽

Change Detection ◽

Real Time ◽

Detection Algorithm ◽

Burned Area ◽

Noisy Time Series ◽

Burned Area Mapping ◽

Online Change Detection

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Segmentation-based online change detection for mobile robots

2011 IEEE International Conference on Robotics and Automation ◽

10.1109/icra.2011.5980532 ◽

2011 ◽

Author(s):

Bradford Neuman ◽

Boris Sofman ◽

Anthony Stentz ◽

J. Andrew Bagnell

Keyword(s):

Change Detection ◽

Mobile Robots ◽

Online Change Detection

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Online Change Detection for Energy-Efficient Mobile Crowdsensing

Mobile Web Information Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10359-4_1 ◽

2014 ◽

pp. 1-16 ◽

Author(s):

Viet-Duc Le ◽

Hans Scholten ◽

P. J. M Havinga

Keyword(s):

Change Detection ◽

Energy Efficient ◽

Mobile Crowdsensing ◽

Online Change Detection

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