Big Data Analytics, Algorithms and Programming
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (15 September 2019) | Viewed by 6672
Special Issue Editors
Interests: modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We herewith present a Special Issue entitled “Big Data Analytics, Algorithms and Programming”. Big data has had an impressive impact on research and education in the many applied sciences. The fields in which big data is in development are computer science, statistics, and applied mathematics. Algorithms in big data analytics investigate large amounts of data to uncover hidden patterns, dependencies and other insights. Through modern technologies and innovations it is possible to analyse every kind of big data and get answers from it almost immediately in comparison with traditional business intelligence solutions. We are looking for significant scientific papers combining innovative programming approaches and algorithmic solutions in the field of big data analytics. Our focus areas include but are not limited to: machine learning algorithms, predictive analytics algorithms, time series forecasting algorithms, and applications of data analytics algorithms.
Prof. Dr. Ivan Ganchev Ivanov
Dr. Stanimir Kabaivanov
Guest Editor
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. Algorithms is an international peer-reviewed open access monthly 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 1600 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.
Keywords
- Big Data
- Machine Learning Algorithms
- Predictive Analytics Algorithms
- Time Series Forecasting Algorithms
- Data Analytics Algorithms
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