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. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. 2017 2nd IEEE International Conference on Big Data Analysis (ICBDA 2017) provides a leading forum for diss.
Topics of interest for submission include, but are not limited to:
Big Data Models and Algorithms
Big Data Architectures
Big Data Management
Big Data Protection, Integrity and Privacy
Security Applications of Big Data
Big Data Search and Mining
Big Data for Enterprise, Government and Society
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03月10日
2017
03月12日
2017
摘要截稿日期
初稿截稿日期
初稿录用通知日期
终稿截稿日期
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 & Analytics2018年03月09日 中国
2018 IEEE 3rd International Conference on Big Data Analysis2017年11月15日 马来西亚 Kuching
2017 IEEE Conference on Big Data and Analytics2016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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