Big Data - BigData 2025

This book constitutes the refereed proceedings of the 14th International Conference on Big Data, BigData 2025, held as part of the Services Conference Federation, SCF 2025, in Hong Kong, China, during September 2730, 2025.

The 15 full papers included in this book were carefully reviewed and selected from 25 submissions. The conference aimed to provide an international forum to formally explore various business insights into all kinds of value-added "agent for big data". Big Data is a key enabler in exploring business insights and economics of services.

Inhalt

.- Digital Restructuring of the Educational Field: Co-evolution of Knowledge Power Game and Institutional Adaptation in Social Networks.
.- Optimization of Equity Cooperation Network Among Clean Energy Enterprises and Its Carbon Emission Reduction Effects under Policy Synergy.
.- Evolutionary Analysis of the Game Behavior of Government Supervisors and Project Responsible Parties Based on the Prevention and Control of Construction Accidents in Large Public Works Projects from the Perspective of Complex Networks.
.- O2O Data-Driven Collaborative Optimization of Live Streaming Ecommerce for Intangible Cultural Heritage Products.
.- Deep Learning-Based Evaluation of High-Quality Economic Development in China.
.- TLAQ: Enhanced Big Healthcare Data Analytics via Lazy Aggregations.
.- Leveraging Large Language Models for Smart Educational Services: A Comprehensive Review.
.- Three-Dimensional Analysis of AI-Enhanced Ideological and Political Education Instruction Within the Framework of Digital Education.
.- Research on the influence mechanism of user-generated content characteristics on purchase intention under big data recommendation.
.- Big Data Analysis of Inflammatory Bowel Disease Associated Autoantibodies in China.
.- Does Commercial Pension Insurance Participation Promote the Transfer of Land Contractual Management Rights? An Empirical Study Based on CHARLS.
.- ClassCube: Effective and Efficient Big OLAP Data Cube Classification via Dimensionality Reduction.
.- Estimation of Channel Parameters Based on Multilayer Perceptron and Residual Blocks over Rician Fading Channels.
.- Environmental Data Imputation via Temporal VAE with Learned Missing Value Representations.