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Manuscript deadline
30 September 2020

Cover image - Journal of Applied Statistics

Journal of Applied Statistics

Special Issue Editor(s)

Yichuan Zhao, Georgia State University, USA
[email protected]

Chi-Hua Chen, Fuzhou University, China
[email protected]

Feng Feng, Xi'an University of Posts and Telecommunications, China
[email protected]

Dragan Pamucar, University of Defence in Belgrade, Serbia
[email protected]

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Statistical Approaches for Big Data and Machine Learning

The guest editors solicit results mainly concerning recent advances and challenges in both the theory and applications of applied statistics to bioinformatics, predictions on COVID-19 outbreak, business and finance, intelligent decision support systems, biomedical research,  etc., based on big data, such as development of novel intelligent decision-making methods for social networks analysis, web mining. With respect to techniques, a special emphasis will be particularly put on the context of big data, fuzzy decision-making, statistical data analysis, machine learning (including deep learning), etc.

Potential topics include but are not limited to the following:

Statistical big data analysis for intelligent decision-making systems

Fuzzy logic and fuzzy decision-making based on statistical data analysis

Data mining tools and statistical techniques

Machine learning based on statistical data analysis

Bayesian analysis with applications in biomedical research

Predictions on COVID-19 outbreak  using  advanced machine learning methods

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Submission Instructions

Please select "Statistical Approaches for Big Data and Machine Learning” when submitting your paper to ScholarOne.

The submissions to the special issue may be of the three types of JAS articles:  Application Note, Original Research Paper, and Review Article.  The most of the submissions should be of Application Note or Original Research paper type.   Please note all three types of articles are of original research.  Papers in which the authors apply some methods/algorithms from computer science to analyze a data, by using some existing statistical methods or they apply basic statistics methods to analyze an interesting data in computer science/enginnering, etc., belong to the article type of Application Note paper in JAS.

Preferably, the submissions should be written by using the LaTex template available at here: https://www.tandfonline.com/action/authorSubmission?show=instructions&journalCode=cjas20#formatting.  Word templates are also available for this journal at https://authorservices.taylorandfracis.com/formatting-and-templates/.

The expected publication date of the special issue  is March 30, 2021.

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