Information Fusion Algorithm for Big Data in Digital Publishing Industry Chain

Digital Publishing - Data Handling

SuperJournal is a research project aiming to identify what factors will make electronic journals successful and why. The project brings together some 20 society, university press and commercial publishers, who are providing electronic versions of around 50 journal titles in discrete areas of academic research. The “why?” is being established via a formal evaluation study being conducted by Loug...

Algorithm Engineering for Big Data

Perhaps the most fundamental challenge implied by advanced applications of big data sets is how to perform the vast amount of required computations sufficiently efficiently. Efficient algorithms are at the heart of this question. But how can we obtain innovative algorithmic solutions for demanding application problems with exploding input sizes using complex modern hardware and advanced algorit...

Ethical Issues in the Big Data Industry

Power Big Data Fusion Prediction

This paper is a research on the characteristics of power big data. According to the characteristics of “large volume”, “species diversity”, “sparse value density”, “fast speed” of the power big data, a prediction model of multi-source information fusion for large data is established, the fusion prediction of various parameters of the same object is realized. A combined algorithm of Map Reduce a...

Big Data Semantics in Industry 4.0

The Industry 4.0 is a vision that includes connecting more intensively physical systems with their virtual counterparts in computers. This computerization of manufacturing will bring many advantages, including allowing data gathering, integration and analysis in the scale not seen earlier. In this paper we describe our Semantic Big Data Historian that is intended to handle large volumes of hete...