Big Data Analytics and Knowledge Discovery: 27th International Conference, DaWaK 2025, Bangkok, Thailand, August 2527, 2025, Proceedings [Paperback]

This book constitutes the proceedings of the 27th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2025, held in Bangkok, Thailand, during August 25–27, 2025.

The 12 full and 14 short papers included in the proceedings were carefully reviewed and selected from 62 submissions. The proceedings also contain one keynote talk, one invited talk and one tutorial. The papers were organized in topical sections as follows: Data mining and knowledge discovery; sequential data analytics and recommendation systems; graph data processing and analytics; data management and indices; Large language Models (LLMs); and Neural Networks.

.- Keynote Talk.

.- Sparse Matrix Algorithms for Evolving Neural Networks.

.- Invited Talk.

.- Data integration in the AI era: research trends and still open issues.

.- Tutorial.

.- Leveraging machine learning techniques for customer data deduplication-hard-won lessons from a real-world project in the financial industry,

.- Data mining and knowledge discovery.

.- FairFES - Fast Exact Sampling for Fair Classification.

.- Autism Detection by Analyzing Handwriting Characteristics of Chinese Characters via Deep Learning Models.

.- FNoDe: Faulty Node Detection in Microservices Architecture.

.- An Enhanced FP-Growth Algorithm with Hybrid Adaptive Support Threshold for Association Rule Mining.

.- Sequential data analytics and recommendation systems.

.- Entity Resolution for Streaming Data with Embeddings.

.- Cross-Modal Sequential Point-of-Interest Recommendation with l3L