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Chapter 1 - An introduction to data mining in social networks
Sourav De, Sandip Dey, ... Siddhartha Bhattacharyya
Pages 1-25 - Book chapterAbstract only
Chapter 2 - Performance tuning of Android applications using clustering and optimization heuristics
Rajendrani Mukherjee, Soumen Kumar Pati and Ayan Banerjee
Pages 27-50 - Book chapterAbstract only
Chapter 3 - Sentiment analysis of social media data evolved from COVID-19 cases – Maharashtra
Pooja Jain and Archana Vaidya
Pages 51-66 - Book chapterAbstract only
Chapter 4 - COVID-19 outbreak analysis and prediction using statistical learning
Harleen Kaur and Mihir Narayan Mohanty
Pages 67-84 - Book chapterAbstract only
Chapter 5 - Verbal sentiment analysis and detection using recurrent neural network
Mohan Debarchan Mohanty and Mihir Narayan Mohanty
Pages 85-106 - Book chapterAbstract only
Chapter 6 - A machine learning approach to aid paralysis patients using EMG signals
Manisha Choudhary, Monika Lokhande, ... Avinash Bhute
Pages 107-125 - Book chapterAbstract only
Chapter 7 - Influence of traveling on social behavior
Ajanta Das and Mousumi Halder
Pages 127-146 - Book chapterAbstract only
Chapter 8 - A study on behavior analysis in social network
Poulomi Samanta, Dhrubasish Sarkar, ... Dipak K. Kole
Pages 147-161 - Book chapterAbstract only
Chapter 9 - Recent trends in recommendation systems and sentiment analysis
Sutapa Bhattacharya, Dhrubasish Sarkar, ... Premananda Jana
Pages 163-175 - Book chapterAbstract only
Chapter 10 - Data visualization: existing tools and techniques
Tej Bahadur Chandra and Anuj Kumar Dwivedi
Pages 177-217 - Book chapterAbstract only
Chapter 11 - An intelligent agent to mine for frequent patterns in uncertain graphs
V. Kakulapati
Pages 219-238 - Book chapterAbstract only
Chapter 12 - Mining challenges in large-scale IoT data framework – a machine learning perspective
Gaurav Mohindru, Koushik Mondal, ... Haider Banka
Pages 239-259 - Book chapterAbstract only
Chapter 13 - Conclusion
Sourav De, Sandip Dey, ... Siddhartha Bhattacharyya
Pages 261-263 - Book chapterNo access
Index
Pages 265-269
About the book
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.
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.
Key Features
- 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
- 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
Details
ISBN
978-0-323-85708-6
Language
English
Published
2022
Copyright
Copyright © 2022 Elsevier Inc. All rights reserved.
Imprint
Academic Press