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Title Advanced data mining tools and methods for social computing / edited by Sourav De [and 3 others].

Publication Info. London, United Kingdom ; San Diego, CA : Academic Press, [2022]

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Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource (xxi, 269 pages).
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Hybrid computational intelligence for pattern analysis and understanding
Bibliography Includes bibliographical references and index.
Summary 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. -- Provided by publisher.
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
Note Description based on online resource; title from digital title page (viewed on May 08, 2023).
Subject Data mining.
Online social networks -- Data processing.
Information technology -- Social aspects.
Data Mining
Exploration de données (Informatique)
Réseaux sociaux (Internet) -- Informatique.
Technologie de l'information -- Aspect social.
Data mining
Information technology -- Social aspects
Added Author De, Sourav, 1979- editor.
Other Form: Print version: 0323857086 9780323857086 (OCoLC)1265455803
ISBN 9780323857093 electronic book
0323857094 electronic book
9780323857086
0323857086
Standard No. AU@ 000070554960
UKMGB 020498621

 
    
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