1. An Introduction to Data Mining in Social Networks 2. Performance Tuning of Android Applications using Clustering and Optimization Heuristics 3. Sentiment analysis of Social Media data evolved from COVID 19 cases - Maharashtra 4. COVID-19 Outbreak Analysis and Prediction Using Statisical Learning 5. Verbal Sentiment Analysis and Detection using Recurrent Neural Network 6. A Machine Learning approach to aid Paralysis patients using EMG signals 7. Influence of Travelling on Social Behaviour 8. A Study on Behaviour Analysis in Social Network 9. Recent Trends in Recommendation System using Sentiment Analysis 10. Data Visualization: Existing Tools and Techniques 11. An intelligent agent of Mining of Frequent Patterns on Uncertain Graphs 12. Mining Challenges in Large Scale IoT Data Framework - A Machine Learning Perspective 13. Conclusion
1. An Introduction to Data Mining in Social Networks 2. Performance Tuning of Android Applications using Clustering and Optimization Heuristics 3. Sentiment analysis of Social Media data evolved from COVID 19 cases - Maharashtra 4. COVID-19 Outbreak Analysis and Prediction Using Statisical Learning 5. Verbal Sentiment Analysis and Detection using Recurrent Neural Network 6. A Machine Learning approach to aid Paralysis patients using EMG signals 7. Influence of Travelling on Social Behaviour 8. A Study on Behaviour Analysis in Social Network 9. Recent Trends in Recommendation System using Sentiment Analysis 10. Data Visualization: Existing Tools and Techniques 11. An intelligent agent of Mining of Frequent Patterns on Uncertain Graphs 12. Mining Challenges in Large Scale IoT Data Framework - A Machine Learning Perspective 13. Conclusion
1. An Introduction to Data Mining in Social Networks
2. Performance Tuning of Android Applications using Clustering and
Optimization Heuristics
3. Sentiment analysis of Social Media data evolved from COVID 19
cases - Maharashtra
4. COVID-19 Outbreak Analysis and Prediction Using Statisical
Learning
5. Verbal Sentiment Analysis and Detection using Recurrent Neural
Network
6. A Machine Learning approach to aid Paralysis patients using EMG
signals
7. Influence of Travelling on Social Behaviour
8. A Study on Behaviour Analysis in Social Network
9. Recent Trends in Recommendation System using Sentiment
Analysis
10. Data Visualization: Existing Tools and Techniques
11. An intelligent agent of Mining of Frequent Patterns on
Uncertain Graphs
12. Mining Challenges in Large Scale IoT Data Framework - A Machine
Learning Perspective
13. Conclusion
Dr. Sourav De completed his PhD in Computer Science and Technology
at the Indian Institute of Engineering & Technology, Shibpur,
Howrah, India in 2015. He is currently an Associate Professor of
Computer Science & Engineering at Cooch Behar Government
Engineering College, West Bengal. He is a co-author of one book,
the co-editor of twelve books, and has more than 54 research
publications in internationally reputed journals, international
edited books, international IEEE conference proceedings, and one
patent to his credit. His research interests include soft
computing, pattern recognition, image processing, and data mining.
Dr. De is a senior member of IEEE and a member of ACM, Institute of
Engineers (IEI), Computer Science Teachers Association (CSTA),
Institute of Engineers and IAENG, Hong Kong. He is a life member of
ISTE, India. Dr. Sandip Dey completed his PhD in Computer Science
and Engineering at Jadavpur University, India in 2016. He is
currently an Assistant Professor in the Department of Computer
Science at Sukanta Mahavidyalaya, Jalpaiguri. He has more than 40
research publications in international journals, book chapters and
conference proceedings to his credit. He has authored or edited
four books, published by John Wiley & Sons and Elsevier. His
research interests include soft computing, quantum computing and
image analysis. Siddhartha Bhattacharyya is a Senior Researcher in
the Faculty of Electrical Engineering and Computer Science of VSB
Technical University of Ostrava, Czech Republic. He is also serving
as the Scientific Advisor of Algebra University College, Zagreb,
Croatia. Prior to this, he served as the Principal of Rajnagar
Mahavidyalaya, Rajnagar, Birbhum. He was a professor at CHRIST
(Deemed to be University), Bangalore, India, and also served as the
Principal of RCC Institute of Information Technology, Kolkata,
India. He is the recipient of several coveted national and
international awards. He received the Honorary Doctorate Award (D.
Litt.) from the University of South America and the SEARCC
International Digital Award ICT Educator of the Year in 2017. He
was appointed as the ACM Distinguished Speaker for the tenure
2018-2020. He has been appointed as the IEEE Computer Society
Distinguished Visitor for the tenure 2021-2023. He has co-authored
six books, co-edited 75 books, and has more than 300 research
publications in international journals and conference proceedings
to his credit. Surbhi Bhatia Khan is Doctorate in Computer Science
and Engineering in the area of Machine
Learning and Social Media Analytics. She earned Project Management
Professional Certification
from reputed Project Management Institute, USA. She is currently
working in the Department of
Data Science, School of Science, Engineering and Environment,
University of Salford, Manchester,
United Kingdom. She has more than 11 years of academic and teaching
experience in different universities. She is the awardee of the
Research Excellence award given by King Faisal University, Saudi
Arabia, in 2021. She has published 100þ papers in many reputed
journals in high indexed outlets. She has around 12 international
patents from India, Australia, and the United States. She has
successfully authored 3 books and has also edited 12 books. She has
completed many projects approved from Ministry of Education, Saudi
Arabia, and Deanship of Scientific Research in different
universities in Saudi Arabia and from India. Her area of interest
is Knowledge Management, Information Systems, Machine Learning, and
Data Science.
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