Intelligent Time Series Model and Its Applications
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 6014
Special Issue Editors
Interests: soft computing; medical information management; time series forecasting; data mining; text mining
Special Issue Information
Dear Colleagues,
Future projections in certain industries and organizations can determine success and failure, and it is essential to effectively control industry and organizational systems. Forecasting the future from accumulated historical data is a tried-and-true method in fields such as engineering finance. However, applying intelligent time series in all fields can be more problematic due to the time and computational effort required. The advent of intelligent time series, such as the time series neural networks, fuzzy time series, and time series deep learning algorithms provides solutions.
The original research articles or comprehensive reviews are welcome to be submitted to this Special Issue. The following topics will be considered for publication in this Special Issue:
- Intelligent time series models;
- Fuzzy time series models;
- Intelligent time series sub-topics:
- Trend analysis in big data;
- Time series segmentation;
- Time series classification;
- Time series clustering;
- Time series visualization.
- Intelligent feature extraction from time series data;
- Multivariate time series forecasting;
- Efficiency issues on intelligent time series forecasting models;
- Correlation and fluctuation among time series;
- Robust, intelligent time series models;
- All applications of intelligent time series forecasting models;
Prof. Dr. Ching-Hsue Cheng
Dr. Jing-Rong Chang
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- intelligent time series model
- fuzzy time series model
- time series graph neural network
- intelligent forecasting algorithm
- intelligent time series applications
