Advances in Data Science and Management : Proceedings of ICDSM 2024, Volume 1 (Lecture Notes in Networks and Systems)

Borah, Samarjeet (EDT)/ Mishra, Sambit Kr. (EDT)/ Tuba, Milan (EDT)

Springer Nature Switzerland AG（2025/09発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 450 p.
• 言語 ENG
• 商品コード 9789819686384

Full Description

This book includes high-quality papers presented at the Third International Conference on Data Science and Management (ICDSM 2024), organized by the Gandhi Institute for Education and Technology, Bhubaneswar, from December 13-14, 2024. It features research in which data science is used to facilitate the decision-making process in various application areas and covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands. The work is presented in two volumes.

Contents

Efficient CNN-Based Framework for Early Detection of Rice Plant Diseases.- Improved SVM based Classifier Model for Brain Tumor Early Detection in the Modern Healthcare System.- Enhanced Diabetes Prediction Among Pima Indian Women using a Hybrid Ensemble Model.- Performance Analysis of Rice Plant Disease Using DenseNet Model.- Exploiting Sentiment Analysis in Machine Learning for Mental Health Detection and Tailored Recommendations.