Information System Design: Big Data Analytics and Data Science by Bhateja, Vikrant; El Barachi, May; Azar, Ahmad Taher; Sharma, Dilip Kumar;

Hosszú leírás:

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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.

Tartalomjegyzék:

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.