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Advances in Data Science and Management : Proceedings of ICDSM 2024, Volume 2 / edited by Samarjeet Borah, Sambit Kr. Mishra, Milan Tuba, Aniket Mahanti, Zdzislaw Polkowski.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Borah, Samarjeet.
Contributor:
Borah
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1478
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 (455 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:
Advanced Fake News Detection Using BERT and Ensemble Learning: A Performance Study
An In-Depth Comparative Analysis of Credit Card Fraud Detection Leveraging the XGBoost Algorithm
Forecasting Currency Prices through the Implementation of Gated Recurrent Units (GRUs) in Neural Networks
A Comparative Analysis of Spillover Effect in the Cryptocurrency Market Using Deep Learning Approach
Cybersecurity for Industrial Control Systems using AI.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9513-20-0
9789819513208
OCLC:
1572198608

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