Special Issue "Recent Advances in Big Data Analytics"
Deadline for manuscript submissions: 31 December 2023 | Viewed by 22465
The increasing availability of data sources and analysis tools have sharply changed traditional methodologies of natural sciences and social sciences. All branches of science are transformed by data-intensive methodologies, and thus, so-called “big data analytics” has become a core issue for almost every researcher. As an echo of this tendency, the aim of this Special Issue is to collect original research papers or surveys on the following four topics: (i) fundamental theoretical analyses, such as the predictability of a system, the minimum error of a classifier, and the reliability of a certain data mining approach; (ii) novel methods, such as methods to uncover hidden causal relationships, to learn multimodal data, and to analyze private data; (iii) the launch of significant data sets with extensive attention, advanced platforms for data analytics, and important analytical tools for some specific problems; (iv) the applications of big data analytics in all disciplines.
Prof. Dr. Tao Zhou
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.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 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.
- big data
- data mining
- artificial intelligence
- machine learning
- causal inference
- minimum error
- multimodal learning
- private data analysis