Graph Interpretation, Summarization and Visualization Techniques: A Review and Open Research Issues

Author(s):  
Prerna Mishra ◽  
Santosh Kumar ◽  
Mithilesh Kumar Chaube
2017 ◽  
Vol 19 (3) ◽  
pp. 1457-1477 ◽  
Author(s):  
Shikhar Verma ◽  
Yuichi Kawamoto ◽  
Zubair Md. Fadlullah ◽  
Hiroki Nishiyama ◽  
Nei Kato

2014 ◽  
Vol 15 (9) ◽  
pp. 776-793 ◽  
Author(s):  
Han Qi ◽  
Muhammad Shiraz ◽  
Jie-yao Liu ◽  
Abdullah Gani ◽  
Zulkanain Abdul Rahman ◽  
...  

Author(s):  
Ramgopal Kashyap

A large vault of terabytes of information created every day from present-day data frameworks and digital innovations, for example, the internet of things and distributed computing. Investigation of this enormous information requires a ton of endeavors at different dimensions to separate learning for central leadership. An examination is an ebb-and-flow territory of innovative work. The fundamental goal of this paper is to investigate the potential effect of enormous information challenges, open research issues, and different instruments related to it. Subsequently, this article gives a stage to study big data at various stages. It opens another skyline for analysts to build up the arrangement in light of the difficulties, and open research issues. The article comprehended that each large information stage has its core interest. Some of this is intended for bunch handling while some are great at constant scientific. Each large information stage likewise has explicit usefulness. Unique procedures were utilized for the investigation.


Author(s):  
Wenbing Zhao

In this article, we point out the threats to online gaming applications and present two strategies that can be used to build secure and dependable online gaming applications. These strategies not only seek the solution for gathering entropy to seed the PRNG used in such applications, but also intend to eliminate malicious intrusions to protect the seed and to maintain replica consistency. By applying these techniques, the online gaming applications can ensure its service integrity (both the service providers and the innocent players are protected) and guarantee high availability despite the presence of Byzantine faults. Finally, we outline some open research issues in this field.


2022 ◽  
pp. 1249-1274
Author(s):  
Ramgopal Kashyap

A large vault of terabytes of information created every day from present-day data frameworks and digital innovations, for example, the internet of things and distributed computing. Investigation of this enormous information requires a ton of endeavors at different dimensions to separate learning for central leadership. An examination is an ebb-and-flow territory of innovative work. The fundamental goal of this paper is to investigate the potential effect of enormous information challenges, open research issues, and different instruments related to it. Subsequently, this article gives a stage to study big data at various stages. It opens another skyline for analysts to build up the arrangement in light of the difficulties, and open research issues. The article comprehended that each large information stage has its core interest. Some of this is intended for bunch handling while some are great at constant scientific. Each large information stage likewise has explicit usefulness. Unique procedures were utilized for the investigation.


Sign in / Sign up

Export Citation Format

Share Document