Emerging Technologies in Data Mining and Information Security Proceedings of IEMIS 2022, Volume 2 /

Podrobná bibliografie
Korporativní autor:	SpringerLink (Online service)
Další autoři:	Dutta, Paramartha (Editor), Chakrabarti, Satyajit (Editor), Bhattacharya, Abhishek (Editor), Dutta, Soumi (Editor), Shahnaz, Celia (Editor)
Shrnutí:	XXIX, 759 p. 269 illus., 182 illus. in color. text
Jazyk:	angličtina
Vydáno:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Vydání:	1st ed. 2023.
Edice:	Lecture Notes in Networks and Systems, 490
Témata:	Computational intelligence. Information storage and retrieval systems. Image processing > Digital techniques. Computer vision. Artificial intelligence > Data processing. Computational Intelligence. Information Storage and Retrieval. Computer Imaging, Vision, Pattern Recognition and Graphics. Data Science.
On-line přístup:	https://doi.org/10.1007/978-981-19-4052-1
Médium:	Elektronický zdroj Kniha

Obsah:

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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