Advanced Data Mining Tools and Methods for Social Computing

Herausgegeben:De, Sourav; Dey, Sandip; Bhattacharyya, Siddhartha; Khan, Surbhi Bhatia

• Broschiertes Buch

Produktbeschreibung

Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims to highlight the advancement of conventional approaches in the field of social networking. Chapter coverage includes reviews of novel techniques and state-of-the-art advances in the area of data mining, machine learning, soft computing techniques, and their applications in the field of social network analysis.

Produktdetails

• Hybrid Computational Intelligence for Pattern Analysis and Understanding
• Verlag: Academic Press / Elsevier Science & Technology
• Artikelnr. des Verlages: C2020-0-01963-8
• Seitenzahl: 292
• Erscheinungstermin: 20. Januar 2022
• Englisch
• Abmessung: 153mm x 228mm x 21mm
• Gewicht: 480g
• ISBN-13: 9780323857086
• ISBN-10: 0323857086
• Artikelnr.: 62535973

Autorenporträt

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.

Inhaltsangabe

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