Big data infers in all processes in our life. But the analysis process of huge data is not enough, the human brain heads for detecting a pattern more efficiently when data is performed visually. Data visualization and data analytics play a significant role in decision making in various sectors...
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
Visualization approaches are used to create tables, diagrams, images, and other intuitive display ways to represent data. Big Data visualization is not as easy as traditional small data sets. The extension of traditional visualization approaches have already been emerged but far from enough. In large...
As the editors of the book on “Big Data Visualization: Recent Development and Challenges” we are seeking contributions from researchers, practitioners and developers and would like to invite you to contribute a chapter to this book. This book is scheduled for publication in December 2020 by CRC...
I provide background regarding a hot topic in the public Data analytics; accounting profession: the rise of big data and the related field of data analytics (DA). Auditing profession; The tax and advisory practices of public accounting firms have embraced the use of Auditor skills; DA, ...
It must alysts [14,15], the data-mining of quantum calculations method determine the symmetry automatically, the Brillouin zone (BZ) leading to the principle-component analysis of the formation ener- integration path for all the possible 14 Bravais Lattices with all gies of many alloys in ...
AIoT is in place to take the proper steps to achieve this. It place smart tools on edge and gives devices the ability to perceive data, observe their surroundings, and make the best decisions—all of which can be done with minimal human intervention. With the power of artificial ...
5G technology will contain a range of networks to fulfill typical requirements of end-users such as voice, video, and data, along with the additional capabilities of seeming less connectivity across devices, machines, vehicles, sensors, and so on [5,6]. However, achieving the full potential ...
Able to generate ever-growing volumes of data Rapid growth in computational capability and capacity Increasingly cost-viable HPC at individual scale (GPU etc) Improvement in resolution of instrumental sources Collecting more data than ever before ...
At last, we sketch the main open research challenges with Big Linked Data visualization. By the end of the tutorial, the audience will be able to get started with their own experiments on the LOD Cloud, to select the most appropriate tool for a defined type of analysis and they will be ...