Advanced Data Mining Tools and Methods for Social Computing: Hybrid Computational Intelligence for Pattern Analysis and Understanding
Editat de Sourav De, Sandip Dey, Siddhartha Bhattacharyya, Surbhi Bhatia Khanen Limba Engleză Paperback – 19 ian 2022
- Provides insights into the latest research trends in social network analysis
- Covers a broad range of data mining tools and methods for social computing and analysis
- Includes practical examples and case studies across a range of tools and methods
- Features coding examples and supplementary data sets in every chapter
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Specificații
ISBN-13: 9780323857086
ISBN-10: 0323857086
Pagini: 292
Dimensiuni: 152 x 229 x 21 mm
Greutate: 0.4 kg
Editura: ELSEVIER SCIENCE
Seria Hybrid Computational Intelligence for Pattern Analysis and Understanding
ISBN-10: 0323857086
Pagini: 292
Dimensiuni: 152 x 229 x 21 mm
Greutate: 0.4 kg
Editura: ELSEVIER SCIENCE
Seria Hybrid Computational Intelligence for Pattern Analysis and Understanding
Public țintă
Researchers, professionals, and graduate students in computer science & engineering, bioinformatics, and electrical engineeringCuprins
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