Applied Data Analytics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 28440
Special Issue Editor
Special Issue Information
Dear Colleagues,
In recent years, we have seen the proliferation of new data analytics methods and approaches. These developments have happened under the labels of machine learning, data mining, deep learning, and smart X (where X can stand for any domain of application, such as smart cities, and smart energy).
However, a road from generic methods to practical applications is not always straightforward. Typical problems include incomplete or dirty data, too small or biased data, a lack of reproducible experiments, missing code for the whole or parts of the method, unclear parameter or hyper parameter values, etc.
The aim of this Special Issue is to provide a forum for applied analytics researchers to present their original contributions describing their experience and approaches to the aforementioned or similar problems in real-life applications on data analytics. Improvements and modifications to the existing methods are also of interest.
Submissions should be original and unpublished. Extended versions of conference publications will be considered if they contain at least 50% new content.
Prof. Dr. Tomasz Wiktorski
Guest Editor
Manuscript Submission Information
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Keywords
- Data analysis
- Data science
- Big data
- Algorithms
- Applied data analytics
- Machine learning
- Data mining.
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