Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2022, Volume 2 - Brossura

Brossura

ISBN 10: 9811940533 ISBN 13: 9789811940538

Casa editrice: Springer, 2022

Riassunto

​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.

 

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2022
• ISBN 10: 9811940533
• ISBN 13: 9789811940538
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 792
• Redattore: Dutta Paramartha, Chakrabarti Satyajit, Bhattacharya Abhishek