The 1st Symposium on Large Data Analysis and Visualization

第一届大数据分析与可视化研讨会

• 批准号: 1147363
• 负责人: Kwan-Liu Ma
• 金额: $ 0.96万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1147363&HistoricalAwards=false
• 关键词: 1st; Symposium; Large; Data; Analysis

In many areas of science, simulations and experiments begin to generate many petabytes of data, with some sciences facing exabytes of data near term. Similarly, the collection of information about the Internet applications and users for a variety of purposes is generating only more data. Our ability to manage, mine, analyze, and visualize the data is fundamental to the knowledge discovery process. That is, the value of data at extreme scale can be fully realized only if we have an end-to-end solution, which demands a collective, inter-disciplinary effort to develop. We are in need of an international venue to gather researchers and practitioners from government agencies, universities, industry, and oversea to exchange ideas and experience, layout research directions, and establish collaborations. The first symposium on large data analysis and visualization is founded to serve those purposes.The proposed symposium, held during October 23-24 in conjunction with VisWeek 2011, aims at bringing together domain scientists, data analytics and visualization researchers, and users, and fostering the needed exchange to develop the next-generation data-intensive analysis and visualization technology. Attendees of the symposium are introduced to the latest and greatest research innovations in large data management, analysis, and visualization, learn how these innovations impact data intensive computing and knowledge discovery, and also learn about the critical issues in creating a complete solution through both invited and contributed talks, poster presentations, panel discussion, and a large data visualization contest that provides massive data and supercomputing time to contestants.

在许多科学领域，模拟和实验开始产生数PB的数据，一些科学在短期内面临EB的数据。同样，为各种目的收集有关互联网应用程序和用户的信息只会产生更多的数据。我们管理、挖掘、分析和可视化数据的能力是知识发现过程的基础。也就是说，只有当我们有一个端到端的解决方案时，才能充分实现极端规模的数据价值，这需要集体的跨学科努力来开发。我们需要一个国际性的场所，以聚集来自政府机构、大学、工业和海外的研究人员和从业人员，交流思想和经验，规划研究方向，并建立合作关系。 第一届大数据分析与可视化研讨会就是为实现这一目标而举办的。此次研讨会将于10月23日至24日在VisWeek 2011期间举行，旨在将领域科学家、数据分析与可视化研究人员和用户聚集在一起，促进必要的交流，以开发下一代数据密集型分析与可视化技术。研讨会的与会者介绍了大数据管理，分析和可视化方面最新和最伟大的研究创新，了解这些创新如何影响数据密集型计算和知识发现，并通过邀请和贡献的演讲，海报演示，小组讨论，以及为参赛者提供海量数据和超级计算时间的大型数据可视化竞赛。