Full Description
This book constitutes the proceedings of the 21st International Conference on Data Science, ICDATA 2025, and the 24th International Conference on Information and Knowledge Engineering, IKE 2025. They were held as part of the 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2025, which took place in Las Vegas, NV, USA, during July 21-24, 2025.
The ICDATA 2025 Conference received a total of 182 submissions, of which 44 papers were accepted; 31 of these are included in this book. The IKE 2025 Conference received 97 submissions, of which 18 papers were accepted; 8 of these were selected for inclusion in this book. This volume includes 39 of the accepted papers from ICDATA 2025 and IKE 2025.
The papers were organized in topical sections as follows: Data Science, Artificial Intelligence, and Applications; Data Mining and Applications - Signal Processing, Security, BPC, and Imaging Science; Data Science, Algorithms, and Novel Applications; 24th International Conference on Information and Knowledge Engineering, IKE 2025; and Poster Research Papers.
Contents
.- SECTION: DATA SCIENCE, ARTIFICIAL INTELLIGENCE, AND APPLICATIONS
.- Reinforcement Learning Explainability Using Decision Tree in Combat Environment.
.- Beyond the Hype: The Efficacy of Simpler Models for Water Level Forecasting Compared to Deep Learning Architectures.
.- Utility AI for Explainable Decision-Making in Six-DoF Simulation Environment.
.- Machine Learning-Based Viscosity Prediction of Ionic Liquids Using Random Forest Regression.
.- Conditional Wasserstein Generative Adversarial Network Transformers with Gradient Penalty (CWGANSFORMER-GP) with Multi-Modal Data.
.- Machine Learning for B2B Sales Prediction: A Comparative Study.
.- SELENE: A Deep Learning Model for Predicting Lunar Absorbed Radiation Dose Rates.
.- Machine and Deep Learning for AI Text Detection.
.- Using Generative AI and Multi-agent LLM Architectures for Topic Summarization and Segmentation for Long Lists of Educational Videos.
.- Semantic Risk Scoring of Aggregated Metrics: An AI-Driven Approach for Healthcare Data Governance.
.- Interpretable, Adaptive, and Robust Online Machine Learning for Data Streams - An Overview and Update.
.- SECTION: DATA MINING AND APPLICATIONS - SIGNAL PROCESSING, SECURITY, hpc, AND IMAGING SCIENCE
.- Multistage Stress Classification and Cognitive Capacity Analysis Using EEG.
.- DP-WGAN-GP for Privacy Protection in Medical Data.
.- CPU-Based Parallelization of BDAC: Enhancing k-Clique Approximation.
.- Behavioral Analysis via Tabular-to-Image Transformation for Proactive Threat Detection.
.- SECTION: DATA SCIENCE, ALGORITHMS, AND NOVEL APPLICATIONS.
.- Task Scheduling with Various Security Level Requirement in Financial Cloud Environment.
.- Classification Based on Dynamic Skyline Objects.
.- How Students Tackle Coding Tasks in Formative Assessment.
.- A Computational Approach to Improving Fairness in K-means Clustering.
.- Optimizing Mobility: A Scalable Real-Time Warehouse for Intelligent Transportation Analytics.
.- Multi-Dimensional Summarization Agents with Context-Aware Reasoning over Enterprise Tables.
.- Is the Indian Social Sector Data Science Ready?.
.- Disputing Facts: A Glimpse into Voting-Related Conversation on TikTok.
.- Validating DataOps CI/CD Pipelines with a Three-Layer Testing Framework.
.- Kinematic Analysis of Ball Speed in Volleyball Spikes using Pose Estimation and Object Detection.
.- Open-source and Institution-specific Research Impact Evaluation via Unsupervised Ranking.
.- Age-Related Differences and Implications for Development of Advanced Driver Assistance Systems.
.- Ontology Driven Fake News Detection for Post Disaster Management.
.- Multilingual Customer Record Linkage: A Novel Approach Using LLMs for Cross-Lingual Entity Resolution.
.- Secure Password Management System (SPMS) using One-Time Pad (OTP).
.- A Quality-Focused Performance Evaluation of SQL over Large Language Models.
.- Multi-LLM Record Linkage: A Comparative Analysis Framework for Co-Residence Pattern Discovery.
.- Visualizing Human Trafficking and Criminal Networks: A Systematic Mapping Study.
.- LOD (Level Of Detail) Based Optimized Privacy-Preserving Navigation.
.- Data-Driven Transformation: The Role of Analytics and Visualization Champions in Organizational Digital Maturity.
.- SECTION: POSTER RESEARCH PAPERS
.- Feature Engineering for Classical and Quantum Unsupervised Machine Learning in Short Time Series of Bird Strike Incidents.
.- Text Mining Analysis for Traditional Dance Songs.
.- A Survey of Vulnerabilities and Emerging Defenses in GANs, VAEs, and Transformers.
.- Machine Learning and Explainable Artificial Intelligence for Network Intrusion Detection.
