"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重中之重。关于简洁数据表示在大数据分析中的应用的长达一周的研讨会将使大约40位数学家和计算机科学家们汇集有关数据的想法，并分享有关数据的当前工作的想法，即具有复杂的分析，例如压缩敏感性和流媒体，稀疏性，稀疏性，分布敏感性和分布式灵敏度和数据融合，机器学习，机器学习，启动，优化和复杂的问题。该研讨会将与加州大学伯克利分校的Simons研究所合作，并于2013年9月16日至20日举行，在该研究所的大数据分析算法基础的学期计划期间，因此也从事该计划的参与者（超过三十位）参与者。研讨会将向所有潜在的参与者开放，演示文稿的调查结果和录像带将分发给公众以进行评论和参与。