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BDPC 2027: International Conference on Big Data and Privacy Computing

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截稿日期:
2027-04-05 还有 200 天
通知日期:
2027-05-05
会议日期:
2027-08-18
会议地点:
Taiyuan, China
届数:
浏览: 8984   关注: 2   参加: 0

会伴指数 (CP-I)

48.6 / 100
全站第 1,900 名 / 共 5,682 个会议 · 前 34%

数据挖掘与数据库 第 108 / 337 安全与隐私 第 122 / 360

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
48
社区关注 (10%)
32
资料公开度 (15%)
55

用到的输入: 有据可查的届次：5 · 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：17 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-17

征稿

BDPC 2027 (International Conference on Big Data and Privacy Computing) is an academic conference held in Taiyuan, China on 2027-08-18. The paper submission deadline is 2027-04-05. Acceptance notifications are sent on 2027-05-05.

The sponsors and organizers of BDPC 2027 invite submissions of high quality big data research papers describing original work, including but not limited to the following topics: Track 1 - Big Data Architecture and Intelligent Computing Fundamental big data algorithms and applications Structured and unstructured data mining Big data analysis architectures and open platforms Data quality control and provenance governance Big data system deployment and engineering practice Big data software and hardware infrastructure Efficient big data processing and programming techniques Cloud-native and serverless big data systems Cloud-edge-end collaborative computing architectures Multi-modal generative data storage and management LLM corpus scheduling and system optimization Green and low-carbon data center technologies Data element infrastructure and asset governance Track 2 - Privacy Computing and Trustworthy AI Security Cloud and big data privacy security Cloud virtualization and QoS optimization Big data encryption and secure analysis Data-as-a-Service (DaaS) and data management Social network data security governance Abnormal detection for large-scale data systems Data validation and consistency optimization LLM secure fine-tuning with differential privacy Prompt defense and model anti-poisoning FHE and zero-knowledge machine learning (zkML) Secure multi-party computation and federated learning TEE-accelerated privacy computing Secure data circulation and compliance governance Generative AI data watermarking and traceability Post-quantum encryption for massive data Zero-trust cross-domain data access control Track 3 - Intelligent Big Data Analysis and Generative Mining Intelligent big data mining and analytics Efficient data query and visual analytics Bio-inspired and evolutionary data analysis Big data driven machine learning Multi-source data fusion and data-driven modeling Data-intensive computing theories and technologies Graph mining and knowledge graph construction Pervasive and mobile data intelligent processing RAG-based enhanced data analysis AI agent autonomous data mining and decision Multi-modal data representation and alignment Spatio-temporal big data prediction and early warning Digital twin and 3D point cloud data analysis Lightweight generative model edge deployment Interpretable and robust data analysis models Few-shot learning for industrial data mining 6G sensing data real-time intelligent computing Track 4 - Big Data Science and Industrial Intelligent Applications Multimedia big data processing and representation Scientific big data computing and applications Cloud-big data-IoT integrated systems Industrial and governmental big data practices Green computing and low-carbon data technologies Intelligent education based on big data Big data enabled business innovation and industrial upgrading Medical and bioinformatics big data applications Smart city, environment and manufacturing big data Lightweight data analysis for SMEs High-performance computing software-hardware co-design Data asset evaluation and element trading technology Low-altitude economy and remote sensing big data Big data driven digital twin industrial integration Metaverse and virtual human data analysis Carbon footprint monitoring and big data analysis Cross-border data security and compliance Financial big data and regulatory technology Autonomous driving and vehicle-road collaborative data processing Track 5 - Blockchain and Decentralized Intelligent Trust Lightweight blockchain for IoT data scenarios Blockchain security for IoT and CPS Blockchain enabled crowdsensing and social networks 5G/6G edge-cloud blockchain technologies Distributed ledgers and high-efficiency consensus algorithms Blockchain-based supply chain and industrial empowerment Cryptography and cryptocurrency security On-chain AI agents and intelligent contract optimization ZK blockchain and cross-chain interoperability Blockchain and privacy computing integration Decentralized data sovereignty and distributed storage Blockchain-based data verification and copyright traceability Low-latency consensus for edge blockchain terminals Post-quantum blockchain security architecture DAO-based decentralized data collaborative governance Blockchain oracle and real-world asset (RWA) services
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