Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2022, Volume 2 (Lecture Notes in Networks and Systems)

Dutta, Paramartha (EDT)/ Chakrabarti, Satyajit (EDT)/ Bhattacharya, Abhishek (EDT)

Springer Verlag, Singapore（2022/09発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 759 p.
• 言語 ENG
• 商品コード 9789811940514

Full Description

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during 23-25 February 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.

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.