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
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