Fast Automatic Feature Selection for Multi-period Sliding Window Aggregate in Time Series

2020 IEEE International Conference on Data Mining (ICDM) ◽

10.1109/icdm50108.2020.00100 ◽

2020 ◽

Author(s):

Rui An ◽

Xingtian Shi ◽

Baohan Xu

Keyword(s):

Time Series ◽

Feature Selection ◽

Sliding Window ◽

Selection For ◽

Automatic Feature Selection

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Automatic feature selection for unsupervised image segmentation

Applied Physics Letters ◽

10.1063/1.1289267 ◽

2000 ◽

Vol 77 (8) ◽

pp. 1230-1232 ◽

Author(s):

W. Al-Nuaimy ◽

Y. Huang ◽

A. Eriksen ◽

V. T. Nguyen

Keyword(s):

Feature Selection ◽

Image Segmentation ◽

Selection For ◽

Unsupervised Image Segmentation ◽

Automatic Feature Selection

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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 ◽

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 ◽

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The Neural Network with Automatic Feature Selection for Solving Problems with Categorical Variables

Advances in Neural Computation, Machine Learning, and Cognitive Research II - Studies in Computational Intelligence ◽

10.1007/978-3-030-01328-8_13 ◽

2018 ◽

pp. 129-135 ◽

Author(s):

Yuriy S. Fedorenko ◽

Yuriy E. Gapanyuk

Keyword(s):

Neural Network ◽

Feature Selection ◽

Categorical Variables ◽

The Neural Network ◽

Selection For ◽

Automatic Feature Selection

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Two-stage Classification with Automatic Feature Selection for an Industrial Application

Studies in Classification, Data Analysis, and Knowledge Organization - Classification — the Ubiquitous Challenge ◽

10.1007/3-540-28084-7_13 ◽

2005 ◽

pp. 137-144 ◽

Author(s):

Sören Hader ◽

Fred A. Hamprecht

Keyword(s):

Feature Selection ◽

Industrial Application ◽

Two Stage ◽

Stage Classification ◽

Selection For ◽

Automatic Feature Selection

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Grey System Correlation-based Feature Selection for Time Series Forecasting

2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) ◽

10.1109/icpics50287.2020.9202167 ◽

2020 ◽

Author(s):

Wei Cheng ◽

Shufeng Wei ◽

Fei Cheng

Keyword(s):

Time Series ◽

Feature Selection ◽

Time Series Forecasting ◽

Grey System ◽

Correlation Based Feature Selection ◽

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Automatic feature selection for Landsat-8 and Sentinel-2 image co-registration using SURFFANN

2018 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2018.8628687 ◽

2018 ◽

Author(s):

Rahul Ambati ◽

Chakravardhan Reddy ◽

Smit Patel ◽

Sandeep Tadepalli ◽

Uttam Kumar

Keyword(s):

Feature Selection ◽

Landsat 8 ◽

Selection For ◽

Automatic Feature Selection

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Online Feature Selection for Streaming Features with High Redundancy Using Sliding-Window Sampling

2018 IEEE International Conference on Big Knowledge (ICBK) ◽

10.1109/icbk.2018.00035 ◽

2018 ◽

Author(s):

Dianlong You ◽

Xindong Wu ◽

Limin Shen ◽

Zhen Chen ◽

Chuan Ma ◽

...

Keyword(s):

Feature Selection ◽

Sliding Window ◽

Online Feature Selection ◽

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Mutual information based feature selection for multivariate time series forecasting

2016 35th Chinese Control Conference (CCC) ◽

10.1109/chicc.2016.7554480 ◽

2016 ◽

Author(s):

Tianhong Liu ◽

Haikun Wei ◽

Kanjian Zhang ◽

Weili Guo

Keyword(s):

Time Series ◽

Feature Selection ◽

Mutual Information ◽

Multivariate Time Series ◽

Time Series Forecasting ◽

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Automatic feature selection for supervised learning in link prediction applications: a comparative study

Knowledge and Information Systems ◽

10.1007/s10115-017-1121-6 ◽

2017 ◽

Vol 56 (1) ◽

pp. 85-121 ◽

Author(s):

Antonio Pecli ◽

Maria Claudia Cavalcanti ◽

Ronaldo Goldschmidt

Keyword(s):

Feature Selection ◽

Comparative Study ◽

Supervised Learning ◽

Link Prediction ◽

Selection For ◽

Automatic Feature Selection

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Feature Selection for Time Series Forecasting: A Case Study

10.1109/his.2008.95 ◽

2008 ◽

Author(s):

Rubén García Pajares ◽

Jose M. Benítez ◽

Gregorio Sáinz Palmero

Keyword(s):

Time Series ◽

Feature Selection ◽

Time Series Forecasting ◽

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