Conference Information

ICCBD 2026: International Conference on Computing and Big Data

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Submission Date:
2026-07-25 Extended
Notification Date:
2026-08-15
Conference Date:
2026-09-28
Location:
Guiyang, China
Years:
7
Viewed: 16135   Tracked: 4   Attend: 0

Conference Partner Index (CP-I)

47.6 / 100
Ranked #2,072 of 5,652 conferences · Top 37%

#120 of 337 in Data Mining & Databases

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
56
Community attention (10%)
36
Public record completeness (15%)
35

Inputs used: Editions on record: 7 · Researchers following it here: 4 · Researchers who opened this page in the past 24 months: 15

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-08

Call For Papers

ICCBD 2026 (International Conference on Computing and Big Data) is an academic conference held in Guiyang, China on 2026-09-28. The paper submission deadline is 2026-07-25 (extended). Acceptance notifications are sent on 2026-08-15.

Conference Topics | 会议征稿方向（但不仅限于以下主题） Topic 1: Data-Centric Computing Architectures and Platforms （数据中心计算架构与平台） Data-Centric Architectures and AI-Driven Architectures Distributed and Stream Processing Frameworks Edge, Cloud, Hybrid and Multi-Cloud Computing Architectures Microservices, Containerization and Serverless Computing Scalable Storage, Data Warehousing and OLAP Architectures Infrastructure, Architecture and Platforms for Big Data Security and Privacy in Data-Centric Architectures Topic 2: Big Data Analytics, Models and Algorithms （大数据分析模型与算法） Novel Theoretical and Computational Models Big Data Analytics and Intelligent Data Processing Machine Learning and Deep Learning for Big Data Algorithms and Techniques for Real-world Applications City-scale Data Mining and Large-scale Machine Learning Multimedia and Multi-structured Data Analytics Issues, Challenges and Opportunities in Big Data Topic 3: Visualization, Image Processing and Multimedia Analytics （可视化、图像处理与多媒体分析） Image Processing and Computer Vision based on Big Data Visual Analytics and Interactive Data Visualization Multimedia Data Understanding and Representation Large-scale Image, Video and Remote Sensing Data Analysis Medical Image Analysis and Intelligent Diagnosis Visual Analytics for Scientific and Industrial Big Data Topic 4: Blockchain Technologies and Distributed Intelligent Systems （区块链与分布式智能系统） Blockchain Technologies, Methodologies and Architectures Blockchain-based Distributed Applications and Transactions Blockchain in Smart Cities, IoT and Intelligent Transportation Blockchain for Data Security, Privacy and Trust Performance Modeling, Optimization and Evaluation of Blockchain Systems Experimental Prototyping and Testbeds for Blockchains Topic 5: Networking, IoT and Cybersecurity for Big Data Systems （大数据系统中的网络、物联网与安全） Internet of Things (IoT) Integrated Power and Data Systems 5G/6G Networks and Intelligent Communications Cybersecurity Technologies and Threat Detection Privacy Preserving Big Data Analytics and Encryption Access Control, Authentication and Cryptographic Protocols Trust, Privacy and Legal Issues in Networked Systems Topic 6: Intelligent Energy Systems and Smart Infrastructure Analytics（智能能源与智慧基础设施大数据） Intelligent Energy Consumption and Behavior Identification DER Management and Demand Response Energy Data Analytics and Energy Substitution Management Transaction of Power Consumption Rights Smart Grid, Smart City and Infrastructure Data Platforms AI and Big Data for Sustainable Energy Systems Topic 7: Big Data Science, Management and Governance （大数据科学、管理与治理） Data Understanding, Quality and Provenance Control Big Data Standards, Programming Models and Toolkits Big Data Management, Persistence and Preservation Open Data Platforms and Data Sharing Mechanisms Enterprise and Industrial Big Data Practices Pricing Models and Policy in Data-driven Systems Topic 8: Big Data and Intelligent Computing for Education and Society （教育与社会智能计算应用） Big Data Analytics in Education and Learning Systems Learning Analytics and Educational Data Mining Intelligent Tutoring Systems and Personalized Learning AI-driven Assessment, Evaluation and Recommendation Visualization and Image Analysis for Educational Applications Big Data Applications for Social Computing and Public Services
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