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

该提案是为支持两年一次的mmds现代海量数据集算法会议请求资金。这些会议的目标是：(1)探索建模和分析大量、高维、非线性结构的科学和互联网数据集的新技术；(2)将计算机科学家、统计学家、数学家和数据分析从业者聚集在一起，促进思想的交叉受精。这些会议将在2006年和2008年两次讨论类似议题的相关会议之后举行。MMDS 2006和MMDS 2008都是一个巨大的跨学科成功，它们清楚地强调了定期会议论坛的必要性，以汇集来自不同背景的初级和高级研究人员，以解决未来几年将面临的具有挑战性的基础问题，因为在广泛的应用领域中产生了越来越大和复杂的数据集。提议的会议将利用这些过去的成功，并将mmds系列扩展为更定期的系列会议，以解决现代大规模数据集分析的算法、统计和计算方面的问题。MMDS所涵盖的主题涉及大规模数据分析中许多近期工作的基本算法问题。此外，MMDS的兴趣主题包括数据问题，从更好的搜索和互联网站点排名，到改进遗传应用中提取结构的方法，再到分析生物医学图像以改进疾病检测。这些前沿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，已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过去的会议，并将会议上提出的资料传播给不能参加会议的人。这将在今后的会议上继续进行。更多信息请访问会议网页：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/