The 1st Symposium on Large Data Analysis and Visualization

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着EB的数据。同样，出于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的价值，而端到端的解决方案需要集体的、跨学科的努力来开发。我们需要一个国际场所，聚集来自政府机构、大学、工业界和海外的研究人员和从业者，交流思想和经验，规划研究方向，并建立合作关系。首届大数据分析和可视化研讨会就是为此目的而设立的。建议的研讨会于10月23-24日与VisWeek 2011联合举行，旨在将领域科学家、数据分析和可视化研究人员以及用户聚集在一起，并促进所需的交流，以开发下一代数据密集型分析和可视化技术。研讨会的与会者将被介绍大数据管理、分析和可视化方面的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、小组讨论和大型数据可视化竞赛了解创建完整解决方案的关键问题，该竞赛为参赛者提供海量数据和超级计算时间。

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.