"Succinct Data Representations and Applications

大数据的研究和进步是社会的高度优先事项。 为期一周的关于简洁数据表示在大数据分析中的应用的研讨会将汇集大约40位数学家和计算机科学家，交流有关简洁数据表示的想法，并分享当前的工作，以实现复杂的分析，如压缩感知和流，稀疏化，分布式传感和数据融合，机器学习，优化和复杂的查询处理。 该研讨会将与加州大学伯克利分校计算理论西蒙斯研究所合作，并将于2013年9月16日至20日在该研究所的大数据分析算法基础学期计划期间举行，因此也参与了该计划的参与者（超过30人）。 研讨会将向所有潜在的参与者开放，研讨会的结果和录像带将分发给公众，供他们发表评论和参与。

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.