Cover image for Emerging Technologies in Data Mining and Information Security Proceedings of IEMIS 2022, Volume 2
Title:
Emerging Technologies in Data Mining and Information Security Proceedings of IEMIS 2022, Volume 2
Author:
Dutta, Paramartha. editor.
ISBN:
9789811940521
Edition:
1st ed. 2023.
Physical Description:
XXIX, 759 p. 269 illus., 182 illus. in color. online resource.
Series:
Lecture Notes in Networks and Systems, 490
Contents:
Part 1: Data Science and Data Analytics -- Chapter 1. Iot Security: Recent Trends And Challenges -- Chapter 2. Assistive Technology for Pedagogical Support and Application of Data Analysis in Neurodevelopmental Disability -- Chapter 3. Developing Smart ML Based Recommendation System -- Chapter 4. Unsupervised Hybrid Change Detection using Geospatial Spectral Classification of Time Series Remote Sensing Datasets -- Chapter 5. Trust based resolving of conflicts for collaborative data sharing in online social networks -- Chapter 6. Startup Profit Predictor using Machine Learning Techniques -- Chapter 7. Right To Be Forgotten In A Post- Ai World: How Effective Is This Right Where Machines Do Not Forget?- Chapter 8. Age, Gender, and Gesture Classification using Open-Source Computer Vision -- Chapter 9. Estimated Time of Arrival for Sustainable Transport using Deep Neural Network -- Chapter 10. Texture Feature based on ANN for Security aspects -- Chapter 11. ML based prediction model for cardiovascular disease -- Chapter 12. Sentiment Analysis in Airlines Industry using Machine Learning Techniques -- Chapter 13. Facial recognition to detect mood and play songs using Machine Intelligence -- Chapter 14. Banana Leaf Diseases and Machine Learning Algorithms Applied To Detect Diseases: A Study -- Chapter 15. Covid-19 prediction analysis using machine learning approach. .
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