Work

Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

Year: 2017

Type: article

Abstract: The term big data occurs more frequently now than ever before. A large number of fields and subjects, ranging from everyday life to traditional research fields (i.e., geography and transportation, biology and chemistry, medicine and rehabilitation), involve big data problems. The popularizing of various types of network has diversified types, issues, and solutions for big data more than ever before. In this paper, we review recent research in data types, storage models, privacy, data security, analysis methods, and applications related to network big data. Finally, we summarize the challenges and development of big data to predict current and future trends.

Source: IEEE Transactions on Industrial Informatics

DOI: 10.1109/tii.2017.2650204

Authors: Zhihan Lv, Houbing Song, Pablo Basanta-Val, Anthony Steed, Minho Jo

Institutions: University College London, West Virginia University, Universidad Carlos III de Madrid, Korea University

Language: English

Topic: Big Data Technologies and Applications

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: Engineering and Physical Sciences Research Council

Awards: G3627510285, Open3D: Collaborative Editing for 3D Virtual Worlds