"Succinct Data Representations and Applications

“简洁的数据表示和应用

• 批准号: 1340226
• 负责人: Christos Papadimitriou
• 金额: $ 2.5万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-05-01 至 2014-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1340226&HistoricalAwards=false
• 关键词: Succinct; Data; Representations; Applications

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.

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四十名数学家和计算机科学家，以交流想法并分享当前的工作，简洁的数据表示可实现复杂的分析，例如压缩感知和流式传输、稀疏化、分布式感知和数据融合、机器学习、优化和复杂查询处理。​该研讨会将与西蒙斯理论研究所合作。加州大学伯克利分校计算机学院将于 2013 年 9 月 16 日至 20 日在学院为期一学期的大数据分析算法基础项目期间举行，该项目的（三十多名）参与者也将参与该研讨会的工作。将对所有潜在参与者开放，演示的调查结果和录像带将分发给公众以征求意见和参与。