"Succinct Data Representations and Applications

大数据的研究和进展是社会的高度优先事项。为期一周的关于简明数据表示在大数据分析中的应用的研讨会将聚集大约40位数学家和计算机科学家，就支持复杂分析的简明数据表示交换想法，并分享当前的工作，例如在压缩传感和流、稀疏、分布式传感和数据融合、机器学习、优化和复杂查询处理方面。研讨会将与加州大学伯克利分校的西蒙斯计算理论研究所合作，并将于2013年9月16日至20日举行，期间该研究所为期一学期的大数据分析算法基础项目。因此，该方案的(30多个)参与者也参与了其工作。讲习班将向所有潜在参与者开放，调查结果和专题介绍的录像带将向公众分发，以供评论和参与。

Research and advances in Big Data is a high priority for the society. A week-long workshop on the applications of succinct data representations to Big Data analysis will bring together about forty mathematicians and computer scientists to exchange ideas about, and share current work on, succinct representations of data enabling sophisticated analysis, as in compressed sensing and streaming, sparsification, distributed sensing and data fusion, machine learning, optimization and complex query processing.  The workshop will be in cooperation with the Simons Institute on the Theory of Computing at UC Berkeley, and will take place on September 16-20 2013, during the Institute's semester-long program on algorithmic foundations of big data analysis, thus also engaging in its work the (more than thirty) participants of that program. The workshop will be open to all potential participants and the findings and video tapes of presentations will be distributed to the public for comments and engagements.