Machine Learning in Data Analytics and Prediction

Dear Colleagues,

We are pleased to announce a new Special Issue, "Machine Learning in Data Analytics and Prediction", which aims to allow researchers and practitioners from different research areas to share their experiences in developing state-of-the-art machine learning-based analytics and prediction solutions through new methods, novel architectures and systems, and real-world applications that could benefit from the proposed solutions. Researchers are invited to submit research works describing innovative methods, algorithms, and platforms covering any facets of machine learning in data analytics and prediction. Application papers detailing industrial implementations, design, and deployment experience reports on how machine learning can solve relevant practical problems related to analytics and prediction are also welcome. 

We welcome technical, experimental, and methodological manuscripts, as well as contributions to applied data science, that address any topics on advances in machine learning-based analytics and prediction methods, systems, and applications, including data and integration, deep neural networks, explainable AI, computational intelligence, and concept drift management, in fields like management, business, engineering, computer science, and physical, social, and life sciences.

Application scenarios of interest include, but are not limited to:

• Cybersecurity and privacy maintenance.
• Management and marketing.
• Economics, finance, and accounting.
• Life sciences and healthcare.
• Internet of Things (IoT).
• Energy and Industry 4.0.
• Business and societal challenges.
• Environmental sustainability.

Dr. Rogério Luís De Carvalho Costa
Prof. Dr. Leonel Filipe Simões Santos
Prof. Dr. Carlos Rabadão
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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.

• machine learning
• big data
• data analytics
• forecasting
• knowledge extration