Visualizing Big Data with augmented and virtual reality: challenges and research agenda. J Big Data. 2015;2(1):1-27.Olshannikova, E., Ometov, A., Koucheryavy, Y. and Olsson, T. (2015). Visualizing Big Data with
capabilities of Augmented Reality and Virtual Reality could be applied to the field of Big Data Visualization. We discuss the promising utility of Mixed Reality technology integration with applications in Big Data Visualization. Placing the most essential data in the central area of the human visual ...
This paper provides a multi-disciplinary overview of the research issues and achievements in the field of Big Data and its visualization techniques and tools. The main aim is to summarize challenges in visualization methods for existing Big Data, as well
While big data is a technologically complex thing, the main issue is the data itself. The validity and credibility of the data sources are as important as the data coming from them. It is one thing when you have your sources and know for sure from where the data is coming. The same th...
but when it comes to big data there are many challenges to increase the intuitiveness, performance and usefulness of the visualization in a dynamic environment. This book aims to provide the state-of-the-art on Visualizing Big Data for various stakeholders in a variety of contexts and business ...
If big data analytics can predict hardware failures3, similar techniques can be used to safeguard the security of critical business and government systems and enable: ▪▪Capturing, processing, and refining data from a wide variety of services, devices, and networks. ▪▪Visual...
Big data and analytics enable the tracking of gender inequality in real time by collecting and processing large amounts of data from various sources as well as visualizing patterns and trends through machine learning algorithms and analytical tools (Garcia et al.,2018). For example, a bias-free...
These new challenges are focused mainly on problems such as data processing, data storage, data representation, and how data can be used for pattern mining, analysing user behaviours, and visualizing and tracking data, among others. In this paper, we present a revision of the new methodologies ...
Karami [60] provided a UAVA cycle that allows the processing of big datasets. Their work includes precise descriptions of each component in the VA cycle when considering big data. This limitation neglects further flavors of data that will be targeted in the presented work by a description of ...
b Microbial co-occurrence and co-exclusion networks help visualizing microbial interactions. In such networks, nodes usually represent taxa of microorganisms, and edges represent statistically significant associations between nodes. Green edges usually stay for positive interactions, while red edges visualize...