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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. The 2016 IEEE International Conference on Big Data Analysis (ICBDA 2016) provides a leading forum for diss

征稿信息

重要日期

2015-11-10
摘要截稿日期
2015-12-10
初稿截稿日期
2015-12-20
初稿录用日期
2015-12-20
终稿截稿日期

征稿范围

Topics of interest for submission include, but are not limited to:

  • 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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重要日期
  • 会议日期

    03月12日

    2016

    03月14日

    2016

  • 11月10日 2015

    摘要截稿日期

  • 12月10日 2015

    初稿截稿日期

  • 12月20日 2015

    初稿录用通知日期

  • 12月20日 2015

    终稿截稿日期

  • 03月14日 2016

    注册截止日期

主办单位
Information Transmission and Dissemination in Communication Networks Laboratory
历届会议
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