/

Data Analytics for Social Microblogging Platforms

Dutta, Soumi Das, Asit Kumar Ghosh, Saptarshi Se alle
Heftet / 2022 / Engelsk

Produktdetaljer

ISBN
9780323917858
Publisert
2022-11-09
Utgiver
Elsevier Science & Technology
Vekt
520 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
328

Forfatter
Dutta, Soumi
Das, Asit Kumar
Ghosh, Saptarshi
Samanta, Debabrata

Biografisk notat

Soumi Dutta works in the Institute of Engineering and Management, Kolkata, West Bengal, India. Asit Kumar Das is Professor of Computer Science and Technology, at the Indian Institute of Engineering Science and Technology Shibpur, Howrah. He is also the Head of the Center of Healthcare Science and Technology of the Institute. His area of research interest includes data mining and pattern recognition, social networks, bioinformatics, machine learning and soft computing, text, audio and video data analysis. Dr. Ghosh is an Assistant Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India. His primary research interests are in social network analysis, legal data analytics, and algorithmic bias and fairness. His research uses techniques from machine learning, natural language processing, information retrieval, and complex network theory. He received his PhD in Computer Science from IIT Kharagpur in 2013. He is a Humboldt Post-doctoral research fellow at the Max Planck Institute for Software Systems (MPI-SWS), Germany. He has also been an Assistant Professor at the Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, India. Debabrata Samanta is the Department Chair and Assistant Professor at the Department of Computing and Information Technologies, Rochester Institute of Technology—RIT Tirana, Tirana, Albania. He obtained his Ph.D. in Computer Science and Engg. in the area of SAR Image Processing. He is keenly interested in Interdisciplinary Research and development and has experience spanning fields of SAR Image Analysis, Video surveillance, a Heuristic algorithm for Image Classification, Deep Learning Framework for Detection and Classification, Blockchain, Statistical Modelling, Wireless Adhoc Networks, Natural Language Processing. He has successfully completed six Consultancy Projects. He owns 22 Patents (4 Design Indian Patents and 2 Australian patents Granted, 16 Indian Patents published) and 2 copyrights. He has authored or co-authored over 224 research papers; he has co-authored 13 books and co-edited 13 books. He has presented various papers at international conferences and received Best Paper awards. He is an IEEE Senior Member, an Associate Life Member of the Computer Society of India (CSI), and a Life Member of the Indian Society for Technical Education (ISTE).

Data Analytics for Social Microblogging Platforms

Dutta, Soumi Das, Asit Kumar Ghosh, Saptarshi Se alle
Heftet / 2022 / Engelsk
Dutta, Soumi Das, Asit Kumar Ghosh, Saptarshi Se alle
Heftet / 2022 / Engelsk
1.851,-
Laveste pris siste 30 dager: 1.851,-
Levering 10-30 dager
Klikk og hent
Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data.
Les mer
Section 1: Introduction of Intelligent Information Filtering and Organisation Systems for Social Microblogging Sites 1. Introduction to Microblogging Sites 2. Data structures and data storage 3. Data Collection using Twitter API Section 2: Microblogging dataset Applications and Implications 4. Brief overview of existing algorithms and Applications Attribute Selection Methods - Filter Method, Wrapper Method, Other attribute selection algorithms 5. Spam detection - Spam detection in OSM - Attribute selection for spam detection 6.  Summarization - Automatic Document Summarization, Summarization of microblogs, Comparing algorithms for microblog summarization, Summarization Validation 7. Cluster Analysis, Clustering Algorithms, Partition based Clustering, Hierarchical Clustering, Density-based Clustering, Graph clustering algorithms, Cluster Validation Indices, Clustering in Online Social Microblogging Sites Section 3: Attribute Selection to Improve Spam Classification 8. Introduction of Attribute Selection to Improve Spam Classification 9. Attribute Selection Based in Basics of Rough Set Theory and Attribute selection algorithm. 10. Experimental Dataset Description 11. Evaluating performance and Evaluation measures 12. Fake news, scams, recruiting by terrorist or criminal organizations Section 4: Microblog Summarization 13. Introduction of Microblog Summarization 14. Base summarization algorithms 15. Unsupervised ensemble summarization approach 16. Supervised ensemble summarisation approach 17. Experiments and results and Performance analysis 18. Demonstrating summarization examples Section 5: Microblog Clustering 19. Introduction of Microblog Clustering Experimental Dataset - will be posted on Mendeley and link included at end of Chapter 19 20. Graph Based Clustering Technique 21. Genetic Algorithm based Clustering 22. Clustering based on Feature Selection 23. Clustering Microblogs using Dimensionality Reduction 24. Evaluating performance and result Analysis Section 6: Conclusion and Future Directions on Social Microblogging Sites
Les mer
Provides advanced coverage of social media data engineering
Investigates various methodologies and algorithms for data summarization, clustering and classification Covers both theory and practical applications from around the world, across all related disciplines of Intelligent Information Filtering and Organization Systems Explores different challenges and issues related to spam filtering, attribute selection, and classification for large datasets
Les mer

Relaterte produkter

Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data.
Les mer
Section 1: Introduction of Intelligent Information Filtering and Organisation Systems for Social Microblogging Sites 1. Introduction to Microblogging Sites 2. Data structures and data storage 3. Data Collection using Twitter API Section 2: Microblogging dataset Applications and Implications 4. Brief overview of existing algorithms and Applications Attribute Selection Methods - Filter Method, Wrapper Method, Other attribute selection algorithms 5. Spam detection - Spam detection in OSM - Attribute selection for spam detection 6.  Summarization - Automatic Document Summarization, Summarization of microblogs, Comparing algorithms for microblog summarization, Summarization Validation 7. Cluster Analysis, Clustering Algorithms, Partition based Clustering, Hierarchical Clustering, Density-based Clustering, Graph clustering algorithms, Cluster Validation Indices, Clustering in Online Social Microblogging Sites Section 3: Attribute Selection to Improve Spam Classification 8. Introduction of Attribute Selection to Improve Spam Classification 9. Attribute Selection Based in Basics of Rough Set Theory and Attribute selection algorithm. 10. Experimental Dataset Description 11. Evaluating performance and Evaluation measures 12. Fake news, scams, recruiting by terrorist or criminal organizations Section 4: Microblog Summarization 13. Introduction of Microblog Summarization 14. Base summarization algorithms 15. Unsupervised ensemble summarization approach 16. Supervised ensemble summarisation approach 17. Experiments and results and Performance analysis 18. Demonstrating summarization examples Section 5: Microblog Clustering 19. Introduction of Microblog Clustering Experimental Dataset - will be posted on Mendeley and link included at end of Chapter 19 20. Graph Based Clustering Technique 21. Genetic Algorithm based Clustering 22. Clustering based on Feature Selection 23. Clustering Microblogs using Dimensionality Reduction 24. Evaluating performance and result Analysis Section 6: Conclusion and Future Directions on Social Microblogging Sites
Les mer
Provides advanced coverage of social media data engineering
Investigates various methodologies and algorithms for data summarization, clustering and classification Covers both theory and practical applications from around the world, across all related disciplines of Intelligent Information Filtering and Organization Systems Explores different challenges and issues related to spam filtering, attribute selection, and classification for large datasets
Les mer

Produktdetaljer

ISBN
9780323917858
Publisert
2022-11-09
Utgiver
Elsevier Science & Technology
Vekt
520 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
328

Forfatter
Dutta, Soumi
Das, Asit Kumar
Ghosh, Saptarshi
Samanta, Debabrata

Biografisk notat

Soumi Dutta works in the Institute of Engineering and Management, Kolkata, West Bengal, India. Asit Kumar Das is Professor of Computer Science and Technology, at the Indian Institute of Engineering Science and Technology Shibpur, Howrah. He is also the Head of the Center of Healthcare Science and Technology of the Institute. His area of research interest includes data mining and pattern recognition, social networks, bioinformatics, machine learning and soft computing, text, audio and video data analysis. Dr. Ghosh is an Assistant Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India. His primary research interests are in social network analysis, legal data analytics, and algorithmic bias and fairness. His research uses techniques from machine learning, natural language processing, information retrieval, and complex network theory. He received his PhD in Computer Science from IIT Kharagpur in 2013. He is a Humboldt Post-doctoral research fellow at the Max Planck Institute for Software Systems (MPI-SWS), Germany. He has also been an Assistant Professor at the Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, India. Debabrata Samanta is the Department Chair and Assistant Professor at the Department of Computing and Information Technologies, Rochester Institute of Technology—RIT Tirana, Tirana, Albania. He obtained his Ph.D. in Computer Science and Engg. in the area of SAR Image Processing. He is keenly interested in Interdisciplinary Research and development and has experience spanning fields of SAR Image Analysis, Video surveillance, a Heuristic algorithm for Image Classification, Deep Learning Framework for Detection and Classification, Blockchain, Statistical Modelling, Wireless Adhoc Networks, Natural Language Processing. He has successfully completed six Consultancy Projects. He owns 22 Patents (4 Design Indian Patents and 2 Australian patents Granted, 16 Indian Patents published) and 2 copyrights. He has authored or co-authored over 224 research papers; he has co-authored 13 books and co-edited 13 books. He has presented various papers at international conferences and received Best Paper awards. He is an IEEE Senior Member, an Associate Life Member of the Computer Society of India (CSI), and a Life Member of the Indian Society for Technical Education (ISTE).

Relaterte produkter