Feature subset selection and feature ranking for multivariate time series

H. Yoon; K. Yang; C. Shahabi

doi:10.1109/tkde.2005.144

Feature subset selection and feature ranking for multivariate time series

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2005.144 ◽

2005 ◽

Vol 17 (9) ◽

pp. 1186-1198 ◽

Cited By ~ 114

Author(s):

H. Yoon ◽

K. Yang ◽

C. Shahabi

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Ranking ◽

Feature Subset

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CLe Ver: A Feature Subset Selection Technique for Multivariate Time Series

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/11430919_60 ◽

2005 ◽

pp. 516-522 ◽

Cited By ~ 15

Author(s):

Kiyoung Yang ◽

Hyunjin Yoon ◽

Cyrus Shahabi

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Selection Technique

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Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features

Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06) ◽

10.1109/icdmw.2006.81 ◽

2006 ◽

Cited By ~ 7

Author(s):

Hyunjin Yoon ◽

Cyrus Shahabi

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Spatial Features

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Mutual information based feature subset selection in multivariate time series classification

Pattern Recognition ◽

10.1016/j.patcog.2020.107525 ◽

2020 ◽

Vol 108 ◽

pp. 107525 ◽

Cited By ~ 2

Author(s):

Josu Ircio ◽

Aizea Lojo ◽

Usue Mori ◽

Jose A. Lozano

Keyword(s):

Time Series ◽

Mutual Information ◽

Multivariate Time Series ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Time Series Classification

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Modified BBO-Based Multivariate Time-Series Prediction System With Feature Subset Selection and Model Parameter Optimization

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.2977375 ◽

2020 ◽

pp. 1-11

Author(s):

Xiaodong Na ◽

Min Han ◽

Weijie Ren ◽

Kai Zhong

Keyword(s):

Time Series ◽

Parameter Optimization ◽

Time Series Prediction ◽

Multivariate Time Series ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Prediction System ◽

Model Parameter ◽

Model Parameter Optimization

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A novel grey‐based feature ranking method for feature subset selection

Journal of the Chinese Institute of Engineers ◽

10.1080/02533839.2008.9671405 ◽

2008 ◽

Vol 31 (3) ◽

pp. 509-514

Author(s):

Chi‐Chun Huang ◽

Hsin‐Yun Chang ◽

Cheng‐Hong Yang

Keyword(s):

Subset Selection ◽

Feature Subset Selection ◽

Ranking Method ◽

Feature Ranking ◽

Feature Subset

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Time Series Forecasting Based on Wavelet Decomposition and Correlation Feature Subset Selection

Advanced Science Letters ◽

10.1166/asl.2018.12976 ◽

2018 ◽

Vol 24 (10) ◽

pp. 7549-7553

Author(s):

Ehab Ali Ahmed ◽

Syafiq Fauzi Bin Kamarulzaman ◽

Jacqueline Isabella Gisen ◽

Zuriani Mustaffa

Keyword(s):

Time Series ◽

Wavelet Decomposition ◽

Subset Selection ◽

Time Series Forecasting ◽

Feature Subset Selection ◽

Feature Subset

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A Novel Grey-Based Feature Ranking Method for Feature Subset Selection

2006 International Conference on Computational Intelligence and Security ◽

10.1109/iccias.2006.294105 ◽

2006 ◽

Author(s):

Chi-chun Huang ◽

Hsin-yun Chang ◽

Cheng-hong Yang

Keyword(s):

Subset Selection ◽

Feature Subset Selection ◽

Ranking Method ◽

Feature Ranking ◽

Feature Subset

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A comparative study of feature-ranking and feature-subset selection techniques for improved fault prediction

Proceedings of the 7th India Software Engineering Conference on - ISEC '14 ◽

10.1145/2590748.2590755 ◽

2014 ◽

Cited By ~ 9

Author(s):

Santosh Singh Rathore ◽

Atul Gupta

Keyword(s):

Comparative Study ◽

Subset Selection ◽

Feature Subset Selection ◽

Fault Prediction ◽

Feature Ranking ◽

Feature Subset

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Empirical evaluation of feature subset selection based on a real-world data set

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2004.03.005 ◽

2004 ◽

Vol 17 (3) ◽

pp. 285-288 ◽

Cited By ~ 5

Author(s):

Petra Perner ◽

Chid Apte

Keyword(s):

Real World ◽

Empirical Evaluation ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Real World Data ◽

Data Set ◽

World Data

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Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks

Applied Soft Computing ◽

10.1016/j.asoc.2007.12.003 ◽

2008 ◽

Vol 8 (4) ◽

pp. 1539-1548 ◽

Cited By ~ 67

Author(s):

V. Ravi ◽

C. Pramodh

Keyword(s):

Neural Network ◽

Subset Selection ◽

Principal Component ◽

Bankruptcy Prediction ◽

Feature Subset Selection ◽

Feature Subset ◽

Threshold Accepting

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