会议信息

BDE 2026: International Conference on Big Data Engineering

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截稿日期:
2026-05-31
通知日期:
2026-06-25
会议日期:
2026-08-05
会议地点:
Yokohama, Japan
届数:
8
浏览: 18363   关注: 10   参加: 0

征稿

BDE 2026 (International Conference on Big Data Engineering) is an academic conference held in Yokohama, Japan on 2026-08-05. The paper submission deadline is 2026-05-31. Acceptance notifications are sent on 2026-06-25.

The BDE 2026 will present the most recent and exciting advances in Big Data Engineering through keynote talks. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: Big Data Science and Foundations Novel Theoretical Models for Big Data New Computational Models for Big Data Data and Information Quality for Big Data New Data Standards Big Data Infrastructure Cloud/Grid/Stream Computing for Big Data High Performance/Parallel Computing Platforms for Big Data Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment Energy-efficient Computing for Big Data Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data Software Techniques and Architectures in Cloud/Grid/Stream Computing Big Data Open Platforms New Programming Models for Big Data beyond Hadoop/MapReduce, STORM Software Systems to Support Big Data Computing Big Data Management Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data Algorithms and Systems for Big Data Search Distributed, and Peer-to-peer Search Big Data Search Architectures, Scalability and Efficiency Data Acquisition, Integration, Cleaning, and Best Practices Visualization Analytics for Big Data Computational Modeling and Data Integration Large-scale Recommendation Systems and Social Media Systems Cloud/Grid/Stream Data Mining- Big Velocity Data Link and Graph Mining Semantic-based Data Mining and Data Pre-processing Mobility and Big Data Multimedia and Multi-structured Data- Big Variety Data Big Data Search and Mining Social Web Search and Mining Web Search Algorithms and Systems for Big Data Search Distributed, and Peer-to-peer Search Big Data Search Architectures, Scalability and Efficiency Data Acquisition, Integration, Cleaning, and Best Practices Visualization Analytics for Big Data Computational Modeling and Data Integration Large-scale Recommendation Systems and Social Media Systems Cloud/Grid/StreamData Mining- Big Velocity Data Link and Graph Mining Semantic-based Data Mining and Data Pre-processing Mobility and Big Data Multimedia and Multi-structured Data-Big Variety Data Big Data Security, Privacy and Trust Intrusion Detection for Gigabit Networks Anomaly and APT Detection in Very Large Scale Systems High Performance Cryptography Visualizing Large Scale Security Data Threat Detection using Big Data Analytics Privacy Threats of Big Data Privacy Preserving Big Data Collection/Analytics HCI Challenges for Big Data Security & Privacy User Studies for any of the above Sociological Aspects of Big Data Privacy Trust management in IoT and other Big Data Systems Big Data Applications AIGC and LLM Applications Recommendation System and Knowedge Discovery Prompt Engineering Complex Big Data Applications in Medicine, Healthcare, Finance, Law, Education, Transportation, Telecommunication Big Data Analytics in Small Business Enterprises (SMEs) Big Data Analytics in Government, Public Sector and Society in General Real-life Case Studies of Value Creation through Big Data Analytics Big Data as a Service Big Data Industry Standards Experiences with Big Data Project Deployments
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