Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2022, Volume 2 / edited by Paramartha Dutta, Satyajit Chakrabarti, Abhishek Bhattacharya, Soumi Dutta, Celia Shahnaz.

Format:

Book

Author/Creator:

Dutta, Paramartha, author.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 490

Language:

English

Subjects (All):

Computational intelligence.

Information storage and retrieval systems.

Image processing--Digital techniques.

Image processing.

Computer vision.

Artificial intelligence--Data processing.

Artificial intelligence.

Computational Intelligence.

Information Storage and Retrieval.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Data Science.

Local Subjects:

Computational Intelligence.

Information Storage and Retrieval.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Data Science.

Physical Description:

1 online resource (754 pages)

Edition:

1st ed. 2023.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2023.

Summary:

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. .

Other Format:

Print version: Dutta, Paramartha Emerging Technologies in Data Mining and Information Security

ISBN:

981-19-4052-5