Recent Advances in Big Data Analytics

Dear Colleagues,

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
Guest Editor

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