Advanced Data Mining Tools and Methods for Social Computing (Hybrid Computational Intelligence for Pattern Analysis and Understanding)

De, Sourav (EDT)/ Dey, Sandip (EDT)/ Bhattacharyya, Siddhartha (EDT)

Academic Press Inc（2022/01発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 292 p.
• 言語 ENG
• 商品コード 9780323857086
• DDC分類 006.312

Full Description

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.

Contents

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