Smart Data Intelligence Proceedings of ICSMDI 2022

This book presents high-quality research papers presented at 2nd International Conference on Smart Data Intelligence (ICSMDI 2022) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during April 2022. This book brings out the new advances and research results...

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Bibliographic Details
Other Authors: Asokan, R. (Editor), Ruiz, Diego P. (Editor), Baig, Zubair A. (Editor), Piramuthu, Selwyn (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2022, 2022
Edition:1st ed. 2022
Series:Algorithms for Intelligent Systems
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a Detection and Analysis of Sentiments on Twitter Using Machine Learning Algorithm -- Malware Attack Detection on IoT Devices Using Machine Learning -- BeSafe: IoT Based Safety Band -- Stock Market Analysis and forecasting with Statistical and Deep Learning Methods -- The paradigm shift in Higher Education from traditional learning to digitalisation -- Designing a socially intelligent system by cognitive modeling of human-environment interaction -- Web-Based recycle Waste Management for Ecommerce 
653 |a Data Analysis and Big Data 
653 |a Computational intelligence 
653 |a Multimedia systems 
653 |a Quantitative research 
653 |a Mathematical Models of Cognitive Processes and Neural Networks 
653 |a Data mining 
653 |a Computational Intelligence 
653 |a Neural networks (Computer science)  
653 |a Data Mining and Knowledge Discovery 
653 |a Multimedia Information Systems 
700 1 |a Ruiz, Diego P.  |e [editor] 
700 1 |a Baig, Zubair A.  |e [editor] 
700 1 |a Piramuthu, Selwyn  |e [editor] 
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520 |a This book presents high-quality research papers presented at 2nd International Conference on Smart Data Intelligence (ICSMDI 2022) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during April 2022. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, healthcare, information, and communication applications