Special Issue "Role of Big Data Analytics and Next-Generation Technology in Future Prediction"

Submission Deadline: 08 December 2021 (closed)
Guest Editors
Dr. Neha Janu, SKIT, India.
Prof. Ezendu Ariwa, University of Wales Trinity Saint David, UK; University of Management and Technology, Sierra Leone.
Dr. Kamred Udham Singh, National Cheng Kung University, Taiwan

Summary

This special issue will address inventive methodologies in Machine learning and Artificial intelligence (AI), IoT is currently trending topics in the IT sector and the general region of business knowledge and information mining just as explicit methodologies managing the subject enormous information and web information mining in the movement and the mathematics filed. With the approach of new advancements using Deep learning, Machine learning, AI, and the Internet of Things, correspondence innovations, and a wide assortment of online networking applications, associations produce colossal volumes of information in brought-together configurations.

The main scope of this special issue is to help researchers in blending new generation technological innovation with Big data analytics applications. It also focuses on major challenges and trends in this area to identify new state of art techniques used in business intelligence in real-time scenarios.


Keywords
Machine learning from BDA
Parallel, accelerated and distributed BDA
Value and performance of BDA
Predictive and Prescriptive Modeling
Real-world applications of BDA, cybercrime, e-commerce, E-health, etc.
Security and privacy in the big data era
BDA in next frontier for innovation and productivity
Significance and Challenges of BDA
BDA on cloud computing research
IoT integrated research with Big Data
Deep Learning role for Big Data Analysis