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Advances in Data Science and Management : Proceedings of ICDSM 2024, Volume 1 / edited by Samarjeet Borah, Sambit Kr. Mishra, Milan Tuba, Aniket Mahanti, Zdzislaw Polkowski.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Borah, Samarjeet.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1477
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Data structures (Computer science).
- Information theory.
- Data mining.
- Computational Intelligence.
- Artificial Intelligence.
- Data Structures and Information Theory.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Data Structures and Information Theory.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (545 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9686-39-3
- 9789819686391
- OCLC:
- 1546962997
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