Feature Selection for Time Series Modeling

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Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org

Google-based Impact Factor: 2.33
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"Feature Selection for Time Series Modeling"
written by Qing-Guo Wang, Xian Li, Qin Qin,
published by Journal of Intelligent Learning Systems and Applications, Vol.5 No.3, 2013

has been cited by the following article(s):

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[6]	Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts
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[7]	Correlation based feature subset selection for multivariate time-series data
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[8]	A Feature Selection Method for Multi-Dimension Time-Series Data
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[9]	Designing the Intelligent System to Determine the Ratio of Patient'S Disease based on Genetic Factor using EEG Techniques
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[10]	Electricity Demand Forecasting Using HWT Model with Four-Fold Seasonality
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[14]	Electricity Demand Forecasting Using HWT Model with Fourfold Seasonality
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[15]	Cross-correlation based clustering and dimension reduction of multivariate time series
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[16]	A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring
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[17]	Multi-step feature selection for forecasting commodity trading price movements
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[18]	Electricity Demand Modeling and Forecasting in Singapore
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[1]	A Type-2 Fuzzy Time Series Classification System with Optimized Time Period Selection 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2024 DOI:10.1109/FUZZ-IEEE60900.2024.10611905

[2]	Distraction descriptor for brainprint authentication modelling using probability-based Incremental Fuzzy-Rough Nearest Neighbour Brain Informatics, 2023 DOI:10.1186/s40708-023-00200-z

[3]	Distraction descriptor for brainprint authentication modelling using probability-based Incremental Fuzzy-Rough Nearest Neighbour Brain Informatics, 2023 DOI:10.1186/s40708-023-00200-z

[4]	Advanced Analytics and Learning on Temporal Data Lecture Notes in Computer Science, 2020 DOI:10.1007/978-3-030-65742-0_15

[5]	Notice of Violation of IEEE Publication Principles: Designing the Intelligent System to Determine the Ratio of Patient'S Disease based on Genetic Factor using EEG Techniques 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), 2020 DOI:10.1109/ICISS49785.2020.9316098

[6]	Electricity Demand Forecasting Using HWT Model with Four-Fold Seasonality Smart Grid, 2018 DOI:10.12677/SG.2018.86060

[7]	Cross-correlation based clustering and dimension reduction of multivariate time series 2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES), 2017 DOI:10.1109/INES.2017.8118563

[8]	A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2017 DOI:10.1109/ETFA.2017.8247659

[9]	Electricity Demand Forecasting Using HWT Model with Fourfold Seasonality 2017 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO), 2017 DOI:10.1109/ICCAIRO.2017.55

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