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

By Zhihan Lv, Houbing Song, P. Basanta-Val, A. Steed, Minho Jo. IEEE Transactions on Industrial Informatics, 2017

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Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges (2018, background): “1) Multivariate Data Fusion: The fusion of various data is one of the basic characteristics of big data [188].”
Location Privacy Protection Based on Differential Privacy Strategy for Big Data in Industrial Internet of Things (2018, background): “It mainly refers to the location privacy of each node in the IoT and the location privacy of the IoT in providing various location services, especially including the radio frequency identification (RFID) reader location privacy, RFID user location privacy, sensor node location privacy, and location-”
A Survey on Deep Learning for Multimodal Data Fusion (2020, background): “These data, often referred to as big data, hold such characteristics as high volume, high variety, high velocity, and high veracity (Gao, Li, & Chen, 2019; Lv, Song, Val, Steed, & Jo, 2017).”
Big data analytics in smart grids: a review (2018, methodology): “The processing and analysis method of these large volume data is a new challenge but opportunity at the beginning of this century with the concept of “ big data ” (Lv et al., 2017a; Günther et al., 2017).”
Differential Privacy Techniques for Cyber Physical Systems: A Survey (2018, background): “Safe and secure operation of this data needs to be ensured for smooth running of industry [305].”