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BDPC 2027: International Conference on Big Data and Privacy Computing

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Submission Date:
2027-04-05 Due in 200 days
Notification Date:
2027-05-05
Conference Date:
2027-08-18
Location:
Taiyuan, China
Years:
Viewed: 8980   Tracked: 2   Attend: 0

Conference Partner Index (CP-I)

48.6 / 100
Ranked #1,900 of 5,682 conferences · Top 34%

#108 of 337 in Data Mining & Databases #122 of 360 in Security & Privacy

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%)
48
Community attention (10%)
32
Public record completeness (15%)
55

Inputs used: Editions on record: 5 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 17

Missing from the public record: Historical acceptance rates (+4.5) · 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 2026-09-17

Call For Papers

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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