Time series and support vector machines to predict powered-two-wheeler accident risk and accident type propensity: A combined approach

Athanasios Theofilatos; George Yannis; Constantinos Antoniou; Antonis Chaziris; Dimitris Sermpis

doi:10.1080/19439962.2017.1301611

Time series and support vector machines to predict powered-two-wheeler accident risk and accident type propensity: A combined approach

Journal of Transportation Safety & Security ◽

10.1080/19439962.2017.1301611 ◽

2017 ◽

Vol 10 (5) ◽

pp. 471-490 ◽

Cited By ~ 5

Author(s):

Athanasios Theofilatos ◽

George Yannis ◽

Constantinos Antoniou ◽

Antonis Chaziris ◽

Dimitris Sermpis

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Support Vector ◽

Accident Risk ◽

Combined Approach ◽

Vector Machines ◽

Two Wheeler

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Modified support vector machines in financial time series forecasting

Neurocomputing ◽

10.1016/s0925-2312(01)00676-2 ◽

2002 ◽

Vol 48 (1-4) ◽

pp. 847-861 ◽

Cited By ~ 247

Author(s):

Francis E.H. Tay ◽

L.J. Cao

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Financial Time Series ◽

Time Series Forecasting ◽

Support Vector ◽

Financial Time ◽

Vector Machines

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Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596890 ◽

2010 ◽

Cited By ~ 14

Author(s):

Paulo Cortez

Keyword(s):

Neural Networks ◽

Time Series ◽

Sensitivity Analysis ◽

Support Vector Machines ◽

Time Lag ◽

Support Vector ◽

Seasonal Time Series ◽

Lag Selection ◽

Vector Machines

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Directional Forecasting in Financial Time Series Using Support Vector Machines: The USD/EURO Exchange Rate

SSRN Electronic Journal ◽

10.2139/ssrn.2387655 ◽

2011 ◽

Author(s):

Vasilios Plakandaras ◽

Periklis Gogas ◽

Theophilos Papadimitriou

Keyword(s):

Time Series ◽

Exchange Rate ◽

Support Vector Machines ◽

Financial Time Series ◽

Support Vector ◽

Financial Time ◽

Vector Machines

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Support Vector Machines of Interval-based Features for Time Series Classification

Research and Development in Intelligent Systems XXI ◽

10.1007/1-84628-102-4_18 ◽

2007 ◽

pp. 244-257 ◽

Cited By ~ 2

Author(s):

Juan José Rodríguez ◽

Carlos J. Alonso

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Support Vector ◽

Time Series Classification ◽

Vector Machines

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Feature Selection for Support Vector Machines in Financial Time Series Forecasting

Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents - Lecture Notes in Computer Science ◽

10.1007/3-540-44491-2_38 ◽

2000 ◽

pp. 268-273 ◽

Cited By ~ 5

Author(s):

L. J. Cao ◽

Francis E. H. Tay

Keyword(s):

Time Series ◽

Feature Selection ◽

Support Vector Machines ◽

Financial Time Series ◽

Time Series Forecasting ◽

Support Vector ◽

Financial Time ◽

Vector Machines ◽

Selection For

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A New Hyper-parameters Selection Approach for Support Vector Machines to Predict Time Series

Pervasive Computing and the Networked World - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37015-1_68 ◽

2013 ◽

pp. 775-787 ◽

Cited By ~ 1

Author(s):

Yanhua Yu ◽

Junde Song ◽

Zhijun Ren

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Support Vector ◽

Parameters Selection ◽

Vector Machines ◽

Selection Approach

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Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/11893028_100 ◽

2006 ◽

pp. 900-906 ◽

Cited By ~ 3

Author(s):

Jiancheng Sun ◽

Yatong Zhou ◽

Yaohui Bai ◽

Jianguo Luo

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Noise Reduction ◽

Least Squares ◽

Chaotic Time Series ◽

Support Vector ◽

Vector Machines ◽

Nonlinear Noise

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A Study of Modelling Non-stationary Time Series Using Support Vector Machines with Fuzzy Segmentation Information

Computational Intelligence and Security - Lecture Notes in Computer Science ◽

10.1007/11596448_76 ◽

2005 ◽

pp. 520-527

Author(s):

Shaomin Zhang ◽

Lijia Zhi ◽

Shukuan Lin

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Stationary Time Series ◽

Support Vector ◽

Stationary Time ◽

Vector Machines ◽

Fuzzy Segmentation

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Chaotic time series prediction using knowledge based Green’s Kernel and least-squares support vector machines

2007 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2007.4414023 ◽

2007 ◽

Cited By ~ 7

Author(s):

Tahir Farooq ◽

Aziz Guergachi ◽

Sridhar Krishnan

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Least Squares ◽

Time Series Prediction ◽

Chaotic Time Series ◽

Support Vector ◽

Knowledge Based ◽

Vector Machines ◽

Chaotic Time Series Prediction

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Predicting time series with support vector machines

Lecture Notes in Computer Science - Artificial Neural Networks — ICANN'97 ◽

10.1007/bfb0020283 ◽

1997 ◽

pp. 999-1004 ◽

Cited By ~ 241

Author(s):

K. -R. Müller ◽

A. J. Smola ◽

G. Rätsch ◽

B. Schölkopf ◽

J. Kohlmorgen ◽

...

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Support Vector ◽

Vector Machines

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