Call for papers - Special Issue on "Data Science: Measuring uncertainties" for Entropy (Impact Factor 2.419, 2018; ISSN 1099-4300;
http://www.mdpi.com/journal/entropy).A short prospectus is given at the volume website:
https://www.mdpi.com/journal/entropy/special_issues/data_science_uncertaintiesThe demand for data analysis is increasing day by day, and this is reflected in a large number of jobs and the high number of published articles. New solutions to the problems that arise in data manipulation are like a farm that had a large-scale production of livestock that has been transformed into a rabbit farm. A new era is coming! The dazzle is so great that many of us do not bother to check the suitability of the solutions for the problems that they are intended to solve. Current and future challenges require greater care in the creation of new solutions satisfying the rationality of each type of problem. Labels such as big data, data science, machine learning, statistical learning, and artificial intelligence are demanding more sophistication in the fundamentals and in the way that they are being applied.
This Special Issue is dedicated to solutions for and discussions of measuring uncertainties in data analysis problems. For example, considering the large amount of data related to an IoT (internet of things) problem, or even considering the small sample size of a biological study with huge dimensions, one must show how to properly understand the data, how to develop the best process of analysis and, finally, to illustrate how to apply the solutions that were obtained theoretically. We seek to respond to these challenges and publish papers that consider the reasons for a solution and how to apply them. Papers can cover existing methodologies by elucidating questions related to the reasons for their selection and their uses.
We are open to innovative solutions and theoretical works that justify the use of a method and to applied works that describe a good implementation of a theoretical method. This special issue will be fully Open Access. More information is available at
http://www.mdpi.com/about/openaccess/Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
The official deadline for submission is 29 Feb 2020. However, you may send your manuscript at any time before the deadline. We can organize a very fast peer-review, if accepted, the paper will be published immediately.
Please do not hesitate to contact us if you have any further questions.
Dr. Carlos Alberto De Bragança Pereira (
cpereira@ime.usp.br)
Dr. Adriano Polpo (
adriano.polpo@uwa.edu.au)
Dr. Agatha Rodrigues (
agatha.rodrigues@ufes.br)
Guest Editors
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Adriano Polpo de Campos
Associate Professor
University of Western Australia
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