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活动简介

The 2nd Norwegian Big Data Symposium - NOBIDS 2016 welcomes the submission of original research and application papers dealing with all aspects of Big Data.

The impact of Big Data and large-scale data infrastructures is now visible in science, business, government and civil society. Companies store more data than anyone could imagine just a few years back, and the proliferation of open linked data has made it possible to share well-defined data across organizational and geographical boundaries. Big data and data analytics are rapidly expanding research areas that are of great importance to both industry and academia. The focus is on scalable techniques for intelligent data production, collection, classification, storing, integration, analysis and visualization. Big Data is multi-disciplinary of nature and is closely linked to industrial innovation and value creation.

The 2nd Norwegian Big Data Symposium (NOBIDS) focuses on Big Data applications and Big Data research from all disciplines, and it aims to bring researchers and industry practitioners together to exchange ideas, establish collaborations and share experiences. There are already a number of successful applications of Big Data solutions in Scandinavian companies. A central objective of the symposium is to create an interdisciplinary community that addresses industry-relevant issues in Big Data and promotes fruitful collaboration between researchers, companies and practitioners.

征稿信息

重要日期

2016-09-30
初稿截稿日期
2016-10-15
初稿录用日期
2016-11-01
终稿截稿日期

征稿范围

Topics of interests for the research track of NOBIDS 2016 include but are not limited to:

  • Industrial applications of big data and data analytics

  • Large-scale recommender systems and personalization

  • News recommender systems and news analytics

  • Cloud/grid/stream computing for big data

  • New programming models and platforms for big data computing

  • Large-scale semantics and open linked data

  • News summarization, classification and sentiment analysis

  • User intelligence and user profiling

  • Social media systems

  • User experience and visualization of big data

  • Big data on mobile platforms

  • Privacy issues in big data

  • Evaluation of big data applications

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重要日期
  • 11月15日

    2016

    会议日期

  • 09月30日 2016

    初稿截稿日期

  • 10月15日 2016

    初稿录用通知日期

  • 11月01日 2016

    终稿截稿日期

  • 11月15日 2016

    注册截止日期

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