Advances in Data Science and Management

Proceedings of ICDSM 2025, Volume 2
Erscheinungsjahr 2026
ISBN: 978-3-032-33580-7
Verlag: Springer

Buch, Englisch, 375 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

This book includes high-quality papers presented at the Fourth International Conference on Data Science and Management (ICDSM 2025), organized by the Gandhi Institute for Education and Technology, Bhubaneswar, from December 19–20, 2025. 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 several 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.

Zielgruppe

Research

Autoren/Hrsg.

Borah, Samarjeet

Mishra, Sambit Kumar

Tuba, Milan

Polkowski, Zdzislaw

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie

Inhaltsverzeichnis

Novelty in managing distributed queries linked with virtual machines using ACO Approach: A case study.- An Advanced Satisfaction-Based Home Energy  Management System Using Deep Reinforcement Learning.- Emotionally Adaptive Virtual Reality Classroom using Eye and Voice Biometrics.- Detecting Botnet Traffics with Advanced Algorithms.- Banana fruit classification using transformer based approach.- HR-Analytics of Corporate Culture: A Conceptual Model and Practical Tools for University Management.- A Multilevel Approach Using Machine Learning Techniques for Rising Star Detection in Academia.- A Spam Free Environment using Naïve Bayesian Classifier.- Performance Assessment of MANET Routing Protocols with Random Waypoint Mobility Model.- Hybrid Residual-Recurrent Model for Multilingual Script Recognition.- Performance analysis of variants of AES Cryptosystem .- Real-Time Apple Detection and Counting using  Spiking Neural Networks.- A Multilingual Indian Legal Information and Advisory Framework for Judicial Support.- Autism Spectrum Disorder Screening Using Dimensionality Reduction and Hybrid Ensemble Models.- An Implementation of a Real-Time Cryptocurrency Investment Decision Framework Using Transformer-Based Multi-Source Sentiment Analysis.- etc.

Über Autor(innen)

Dr. Samarjeet Borah is currently a Professor and Head of the Department of Computer Applications at SMIT, Sikkim Manipal University, India. He has led various funded projects from AICTE and DST-CSRI and has published approximately 120 research papers in reputed journals and conferences. Dr. Borah has organized several national and international workshops and conferences. He is actively involved with esteemed book series and journals from Springer, IEEE, Inderscience, and IGI Global as a Guest Editor. Additionally, he serves as the Editor-in-Chief of two book and proceedings series: Research Notes on Computing and Communication Sciences (Apple Academic Press, USA) and Synergy Spectrum: Computing, Business, and Legal Insights (Nova Science Publishers, USA).

Dr. Sambit Kumar Mishra is having more than 27 years of teaching experience in different AICTE approved institutions in India. He obtained his bachelor’s degree in engineering in Computer Engineering from Amravati University, Maharashtra, India in 1991, M.Tech. in Computer Science from Indian School of Mines, Dhanbad (Now IIT, Dhanbad), India in 1998 and Ph.D. in Computer Science and Engineering from Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India in 2015. He has more than 37 publications in different peer reviewed International indexed Journals and editorial board member of different peer reviewed indexed Journals. His areas of research are Data Mining, Database Engineering and Computer architecture. Presently he is working as Professor in the Department of Computer Science and Engineering, Gandhi Institute for Education and Technology, Baniatangi, Bhubaneswar, Odisha, India.

Dr. Milan Tuba, Professor of Computer Science, Mathematics and Electrical Engineering, Head of the Artificial Intelligence Project at Singidunum University and Vice-Rector of Research at Sinergija University received B. S. in Mathematics, M. S. in Mathematics, M. S. in Computer Science, M. Ph. in Computer Science, Ph.D. in Computer Science from University of Belgrade and New York University. He is included in both versions of the Stanford University list of 2% of the most influential scientists in the world in all disciplines, one for contribution during the entire career and other for contribution in the previous year (for years 2020, 2021, 2022, 2023 and 2024). Prof. Tuba was the highest ranked researcher in Serbia for Computer Science field at AD Scientific Index - World Scientists Rankings.

Dr. Zdzislaw Polkowski is professor of UJW and Rector’s Representative for International Cooperation and Erasmus+ Program at the Jan Wyzykowski University Polkowice. Also, he is professor of WSG University Bydgoszcz and Rector's Representative for International Cooperation, Poland. Since 18 October 2024 Dr. Polkowski Post Doctoral Fellow (PDF) in Marwadi University, Rajkot, India. Additionally, he is a visiting professor in University of Pitesti, Romania, Swami Sahajanand School of Management, Bhavnagar, India and adjunct professor, Swami Sahajanand College of Commerce & Management, Bhavnagar, India. He is the former dean of the Technical Sciences Faculty during the period 2009 -2012 at UZZM in Lubin.