III: Workshop support for meeting on algorithms for modern massive data sets, MMDS 2010

该提案要求提供资金，以支持关于现代大规模数据集算法的两年一度的MMDS会议。 这些会议的目标是：（1）探索建模和分析大规模，高维，非线性结构的科学和互联网数据集的新技术;（2）汇集计算机科学家，统计学家，数学家和数据分析从业者，以促进思想的交叉施肥。 这些会议将在2006年和2008年讨论类似议题的两次相关会议之后举行。 无论是MMDS 2006年和MMDS 2008年是一个巨大的跨学科的成功，他们清楚地强调了定期会议论坛的需要，汇集初级和高级研究人员从一系列的背景，以解决挑战性的基础问题，将面临在未来几年越来越大和复杂的数据集产生在广泛的应用领域。 建议的会议将利用这些过去的成功，并将MMDS系列扩展为一个更定期的会议系列，以解决现代大规模数据集分析的出租，统计和计算方面的问题。MMDS所涵盖的主题解决了大规模数据分析中最近大部分工作的基础算法问题。 此外，在MMDS感兴趣的主题包括数据问题，从更好的搜索和排名在互联网网站上，以改善方法提取结构的遗传应用分析生物医学图像，以改善疾病检测。 这些方面的进展将由初级研究人员以及来自广泛应用领域的研究人员推动。 因此，尽一切努力让包括妇女和少数民族在内的初级研究人员参加以往的会议，并向未能出席会议的人传播会议上介绍的信息。 这将在今后的会议上继续进行。 欲了解更多信息，请参阅会议网页：http://mmds.stanford.edu/

The proposal is a request for funds to support the biennial MMDSmeetings on Algorithms for Modern Massive Data Sets. The goalsof these meetings are: (1) to explore novel techniques formodeling and analyzing massive, high-dimensional, andnonlinearly-structured scientific and internet data sets; and(2) to bring together computer scientists, statisticians,mathematicians, and data analysis practitioners to promotecross-fertilization of ideas. The meetings will occur in thewake of two related meetings in 2006 and 2008 that addressedsimilar topics. Both MMDS 2006 and MMDS 2008 were an enormousinterdisciplinary success, and they clearly highlighted theneed for a regular meeting forum to bring together junior andsenior researchers from a range of backgrounds to address thechallenging foundational problems that will be faced in upcomingyears as increasingly large and complex data sets are generatedin a wide range of application domains. The proposed meetingswill capitalize on these past successes and extend the MMDSseries into a more regular series of meetings to addressalgorithmic, statistical, and computational aspects of modernmassive data set analysis.The topics covered by MMDS address fundamental algorithmicquestions underlying much of the recent work in large-scale dataanalysis. In addition, topics of interest at MMDS include dataproblems ranging from better search and ranking at internetsites to improved methods for extracting structure in geneticsapplications to analyzing biomedical images for improved diseasedetection. Progress on these fronts will be fueled by juniorresearchers as well as researchers from a wide range ofapplication areas. Thus, every effort was be made to includejunior researchers, including women and minorities, at pastmeetings and to disseminate the information presented at themeetings to people who were not able to attend. This will becontinued at future meetings. For more information, please seethe meeting webpage: http://mmds.stanford.edu/