Cover for Advanced Data Mining Tools and Methods for Social Computing

Advanced Data Mining Tools and Methods for Social Computing

A volume in Hybrid Computational Intelligence for Pattern Analysis

Book2022

Edited by:

Sourav De, Sandip Dey, ... Surbhi Bhatia

Advanced Data Mining Tools and Methods for Social Computing

A volume in Hybrid Computational Intelligence for Pattern Analysis

Book2022

 

Cover for Advanced Data Mining Tools and Methods for Social Computing

Edited by:

Sourav De, Sandip Dey, ... Surbhi Bhatia

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Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specificall ... read full description

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  2. Book chapterAbstract only

    Chapter 1 - An introduction to data mining in social networks

    Sourav De, Sandip Dey, ... Siddhartha Bhattacharyya

    Pages 1-25

  3. 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

  4. 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

  5. Book chapterAbstract only

    Chapter 4 - COVID-19 outbreak analysis and prediction using statistical learning

    Harleen Kaur and Mihir Narayan Mohanty

    Pages 67-84

  6. Book chapterAbstract only

    Chapter 5 - Verbal sentiment analysis and detection using recurrent neural network

    Mohan Debarchan Mohanty and Mihir Narayan Mohanty

    Pages 85-106

  7. 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

  8. Book chapterAbstract only

    Chapter 7 - Influence of traveling on social behavior

    Ajanta Das and Mousumi Halder

    Pages 127-146

  9. Book chapterAbstract only

    Chapter 8 - A study on behavior analysis in social network

    Poulomi Samanta, Dhrubasish Sarkar, ... Dipak K. Kole

    Pages 147-161

  10. Book chapterAbstract only

    Chapter 9 - Recent trends in recommendation systems and sentiment analysis

    Sutapa Bhattacharya, Dhrubasish Sarkar, ... Premananda Jana

    Pages 163-175

  11. Book chapterAbstract only

    Chapter 10 - Data visualization: existing tools and techniques

    Tej Bahadur Chandra and Anuj Kumar Dwivedi

    Pages 177-217

  12. Book chapterAbstract only

    Chapter 11 - An intelligent agent to mine for frequent patterns in uncertain graphs

    V. Kakulapati

    Pages 219-238

  13. 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

  14. Book chapterAbstract only

    Chapter 13 - Conclusion

    Sourav De, Sandip Dey, ... Siddhartha Bhattacharyya

    Pages 261-263

  15. 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

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Editors

Sourav De

Computer Science & Engineering, Cooch Behar Government Engineering College, Cooch Behar, India

Sandip Dey

Department of Computer Science, Sukanta Mahavidyalaya, Jalpaiguri, India

Siddhartha Bhattacharyya

Rajnagar Mahavidyalaya, Birbhum, India

Surbhi Bhatia

College of Computer Sciences and Information Technology, King Faisal University, Riyadh, Saudi Arabia