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Advanced data mining tools and methods for social computing /

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 suppor...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: De, Sourav, 1979- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom ; San Diego, CA : Academic Press, [2022]
Colección:Hybrid computational intelligence for pattern analysis and understanding
Temas:
Acceso en línea:Texto completo

MARC

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020 |z 9780323857086 
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035 |a (OCoLC)1292705291  |z (OCoLC)1292562470  |z (OCoLC)1292591045  |z (OCoLC)1292730871 
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245 0 0 |a Advanced data mining tools and methods for social computing /  |c edited by Sourav De [and 3 others]. 
264 1 |a London, United Kingdom ;  |a San Diego, CA :  |b Academic Press,  |c [2022] 
300 |a 1 online resource (xxi, 269 pages). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Hybrid computational intelligence for pattern analysis and understanding 
504 |a Includes bibliographical references and index. 
520 |a 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. --  |c Provided by publisher. 
505 0 |a 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 
588 |a Description based on online resource; title from digital title page (viewed on May 08, 2023). 
650 0 |a Data mining. 
650 0 |a Online social networks  |x Data processing. 
650 0 |a Information technology  |x Social aspects. 
650 2 |a Data Mining  |0 (DNLM)D057225 
650 6 |a Exploration de donn�ees (Informatique)  |0 (CaQQLa)201-0300292 
650 6 |a R�eseaux sociaux (Internet)  |0 (CaQQLa)201-0500106  |x Informatique.  |0 (CaQQLa)201-0380011 
650 6 |a Technologie de l'information  |0 (CaQQLa)201-0023285  |x Aspect social.  |0 (CaQQLa)201-0374080 
650 7 |a Data mining  |2 fast  |0 (OCoLC)fst00887946 
650 7 |a Information technology  |x Social aspects  |2 fast  |0 (OCoLC)fst00973131 
700 1 |a De, Sourav,  |d 1979-  |e editor. 
776 0 8 |i Print version:  |z 0323857086  |z 9780323857086  |w (OCoLC)1265455803 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780323857086  |z Texto completo