[ABE-L] Call for papers - Special Issue on "Data Science: Measuring uncertainties" for Entropy

[Adriano Polpo de Campos]

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_uncertainties

The 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 em ime.usp.br)
Dr. Adriano Polpo (adriano.polpo em uwa.edu.au)
Dr. Agatha Rodrigues (agatha.rodrigues em ufes.br)
Guest Editors
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