ICBDC 2025 Preface

The 10th International Conference on Big Data and Computing (ICBDC 2025) was successfully held in Singapore from 16-18 May 2025.This conference, as a significant event in the field of big data and computing, has once again provided a high-level international platform for scholars, researchers, and industry practitioners from around the world.Big data and computing technologies have been at the forefront of technological innovation in recent years.They have deeply infiltrated various industries.The exponential growth of data volume, velocity, and variety has brought both unprecedented opportunities and challenges.How to effectively manage, analyze, and utilize big data, and how to develop more efficient computing models and algorithms to support big data processing have become crucial issues that need to be addressed urgently in both academic and industrial circles.

Authors

Publication Details

Journal
IET conference proceedings.
Published
2025-08-01
DOI
https://doi.org/10.1049/icp.2025.2045
Primary Topic
Academic Publishing and Open Access
Type
article
Field-Weighted Citation Impact
0.00
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ICBDC 2025 Preface

ICBDC Organising Committee
IET conference proceedings.
Academic Publishing and Open Access
article

ICBDC 2025 Preface

ICBDC Organising Committee
article en

Abstract

The 10th International Conference on Big Data and Computing (ICBDC 2025) was successfully held in Singapore from 16-18 May 2025.This conference, as a significant event in the field of big data and computing, has once again provided a high-level international platform for scholars, researchers, and industry practitioners from around the world.Big data and computing technologies have been at the forefront of technological innovation in recent years.They have deeply infiltrated various industries.The exponential growth of data volume, velocity, and variety has brought both unprecedented opportunities and challenges.How to effectively manage, analyze, and utilize big data, and how to develop more efficient computing models and algorithms to support big data processing have become crucial issues that need to be addressed urgently in both academic and industrial circles.

IET conference proceedings.Vol. 2025(8)
Openalex Percentile: Top 80%
Academic Publishing and Open Access
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