Big Data overall architecture consists of three layers: data storage, data processing and data analysis. Data storage layer stores complex type and mass data, data processing layer realizes real-time processing of massive data, and only through data analysis layer, smart, in-depth and valuable information are got. When talking about big data, it comes to the first is 4V characteristics of big data, namely Volumes, Variety ,Velocity , Veracity. Big data processing key technology generally includes: data acquisition, data preprocessing, data storage and data management, data analysis and mining, big show and application (big data retrieval, data visualization, big data applications, data security, etc.).
Sponsor Type:3; 9
International Advisory Committee
Zhu Han
University of Houston, USA
Hayato YAMANA
Waseda University, Japan
Conference Committee Chair
Sheng-Uei Guan
Xi'an Jiaotong-Liverpool University, China
Conference Committee Co-Chair
Minghui Shi
Xiamen University, China
Technical Program Committee Chairs
Goutam Chakraborty
Iwate Prefectural University, Japan
Peng Chen
People’s Public Security University of China, China
Yohei Saika
National Institute of Technology, Japan
Local Committee
Wanlei Zhao, Xiamen University, China
Topics of interest include, but are not limited to:
Big Data Models and Algorithms
Foundational Models for Big Data
Algorithms and Programming Techniques for Big Data Processing
Big Data Analytics and Metrics
Representation Formats for Multimedia Big Data
Big Data Architectures
Cloud Computing Techniques for Big Data
Big Data as a Service
Big Data Open Platforms
Big Data in Mobile and Pervasive Computing
Big Data Management
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Management Issues of Social Network Big Data
Big Data Protection, Integrity and Privacy
Models and Languages for Big Data Protection
Privacy Preserving Big Data Analytics
Big Data Encryption
Security Applications of Big Data
Anomaly Detection in Very Large Scale Systems
Collaborative Threat Detection using Big Data Analytics
Big Data Search and Mining
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Machine learning based on Big Data
Visualization Analytics for Big Data
Big Data for Enterprise, Government and Society
Big Data Economics
Real-life Case Studies of Value Creation through Big Data Analytics
Big Data for Business Model Innovation
Big Data Toolkits
Big Data in Business Performance Management
SME-centric Big Data Analytics
Big Data for Vertical Industries (including Government, Healthcare, and Environment)
Scientific Applications of Big Data
Large-scale Social Media and Recommendation Systems
Experiences with Big Data Project Deployments
Big Data in Enterprise Management Models and Practices
Big Data in Government Management Models and Practices
Big Data in Smart Planet Solutions
Big Data for Enterprise Transformation
Blockchain
Blockchain based lightweight data structures for IoT data
Blockchain based IoT security solutions
Blockchain in cyber physical systems
Blockchain in social networking
Bolckchain in crowdsourcing and crowdsensing
Blockchain in 5G
Blockchain in edge and cloud computing
Blockchain and trust management
Mar 05
2021
Mar 08
2021
Draft paper submission deadline
Registration deadline
2024-08-23 Thailand Bangkok
2024 5th International Conference on Big Data Analytics and Practices (IBDAP)2023-08-25 Thailand Bangkok
2023 4th International Conference on Big Data Analytics and Practices2023-03-03 China Harbin
2023 IEEE 8th International Conference on Big Data Analytics2022-09-01 Thailand Bangkok
2022 3rd International Conference on Big Data Analytics and Practices2022-03-04 China Guangzhou
2022 7th International Conference on Big Data Analytics2021-08-26 Thailand Bangkok
2021 2nd International Conference on Big Data Analytics and Practices2017-08-28 France Lyon
19th International Conference on Big Data Analytics and Knowledge Discovery2017-03-23 India Andhra Pradesh,India
2017 International Conference on Big Data Analytics and Computational Intelligence
Submit Comment