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.). In recent years, “Big Data” has become a new ubiquitous term.
Topics of interest for submission 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 |
03月09日
2018
03月12日
2018
摘要截稿日期
初稿截稿日期
初稿录用通知日期
注册截止日期
2018年11月20日 马来西亚
2018 IEEE Conference on Big Data and Analytics2018年10月18日 泰国
2018 International Congress on Big Data & Analytics2017年11月15日 马来西亚 Kuching
2017 IEEE Conference on Big Data and Analytics2017年03月10日 中国 BeiJing,China
2017 IEEE 2nd International Conference on Big Data Analysis2016年03月12日 中国 Hangzhou
2016 IEEE大数据分析国际会议2016年03月12日 中国 Hangzhou, China
2016 IEEE International Conference on Big Data Analysis
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