Information System Design: Big Data Analytics and Data Science (eBook, PDF)

Proceedings of Ninth International Conference on Information System Design and Intelligent Applications (ISDIA 2025), Volume 3
Redaktion: Bhateja, Vikrant; Sharma, Dilip Kumar; Azar, Ahmad Taher; El Barachi, May

• Format: PDF

Produktbeschreibung

This book presents a collection of high-quality, peer-reviewed research papers from 9th International Conference on Information System Design and Intelligent Applications (ISDIA 2025), held in Dubai, UAE, from 3-4 January 2025. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing, cognitive computing, and information security.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 621
• Erscheinungstermin: 30. September 2025
• Englisch
• ISBN-13: 9789819692484
• Artikelnr.: 75557340

Autorenporträt

Vikrant Bhateja is an associate professor in Department of Electronics Engineering Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He holds a doctorate in Bio-Medical Imaging (ECE) with a total academic teaching experience of 20 years with around 190 publications in reputed international conferences, journals, and online book chapter contributions; out of which 39 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as “Editor Choice Paper of the Issue” in 2016. Among the international conference publications, four papers have received “Best Paper Award”. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as publication/TPC chair and edited 52 book volumes from Springer-Nature as a corresponding/co-editor/author on date.  May El Barachi is the head of School of Computer Science at University of Wollongong in Dubai. An Egyptian Canadian Computer Scientist and Smart Technology Expert with degrees in Telecom. Engineering, Computer Engineering, and Computer Science, Prof El Barachi possesses width and breadth of knowledge in the areas of computer science, IT, and engineering. Using her knowledge and experience, she conducts large scale multi-disciplinary projects in the areas of BioTech, smart transportation, smart cities, inclusion and innovation. With collaborators spanning the globe, and a large group of researchers under her supervision, she tackles challenging real-life problems using a combination of legacy and emerging technologies. In addition to academic collaboration, she is involved in industry collaborations with the telecom and health industries and was able to raise more than 4 Million Dirhams in the last five years to support her research work.  Ahmad Taher Azar (Senior Member, IEEE) is a research professor at Prince Sultan University, Riyadh, Kingdom Saudi Arabia, and associate director of research and initiative centre. He is a lab leader of Automated Systems & Soft Computing Lab (ASSCL) at Prince Sultan University, Riyadh, Saudi Arabia. He is also a professor at the Faculty of Computers and Artificial intelligence, Benha University, Egypt. Prof. Azar is the editor in chief of the International Journal of System Dynamics Applications (IJSDA) and International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), published by IGI Global, USA. He is also the editor in chief of the International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience Publishers, Olney, UK. From 2018 to 2020, Prof. Azar was an associate editor of ISA Transactions, Elsevier.  Dilip Kumar Sharma is B.E.(CSE), M. Tech. (CSE), and Ph.D. in Computer Engineering. He is Senior Member of IEEE, ACM, and CSI. He is a fellow of IE and IETE. Presently, he is working at GLA University, Mathura, in the capacity of Dean—International Relations and Academic Collaborations since 1 June 2022 and professor in the Computer Engineering and Applications Department. Previous to it, he served in the capacity of Associate Dean (Academic Collaborations), GLA University from 22 June 2019 to 31 May 2022. He facilitated the signing of more than 160 MoUs/ Academic Collaborations in the last three years with acclaimed institutions, academia, and research centres—nationally and internationally along with renowned government agencies, bodies and corporate entities. He is working as a professor in Department of Computer Engineering and Applications, GLA University Mathura from 27 March 2003 to till now.

Inhaltsangabe

Evaluation and Improvement of ELECTRA-small and DeBERTa Models on Adversarial QA Examples.- Predicting Loan Defaulters: A Comprehensive Analysis and Comparative Study of Machine Learning Algorithms using a Large-scale Loan Default Dataset.- Enhancing Data Integration and Decision-Making in Smart Manufacturing Through Knowledge Graph-Based Management of Heterogeneous Data.- Zipf s Law and its Application in Large Language Models: A Comprehensive Analysis.- Improving Learning Analytics from Open-Source Software Data Logs using Machine Learning and Process Mining Techniques.- Multilingual Content Moderation: Advanced Hate Speech Detection with XLM-RoBERTa.- An In-Depth Pedagogical Exploration of Loan Default Classification with Machine Learning Techniques.- AI-Based Learning Analytics: Evaluating MENA Higher Education Stakeholders' Views on Curriculum, Resources, Class Size, Learning Environment, and Support Services Using NLP.- Advanced Learning Analytics with AI: Analyzing Stakeholder Perceptions of Feedback, Assessment, Engagement, and Faculty Development in MENA Higher Education Using NLP.- Maintaining Life Insurance Contracts of Joint Commercial Banks with Insurance Links.- Leveraging Big Data and AI for Improved Energy Efficiency in MENA Utilities: A Framework for Consumption Management and Operational Insights.- SMOTE and Optimized Forest for Software Defect Prediction.- Automatic reasoning-code generation using NLP-based entity relations identification.- Enhancing Credit Card Fraud Detection Using Hybrid Machine Learning Models with Federated Learning Prospects.