大规模科学和互联网数据应用中的计算是MMDS 2010的焦点
Computation in Large-Scale Scientific and Internet Data Applications is a Focus of MMDS 2010
摘要：
2010年6月15- 18日，2010年现代大规模数据集算法研讨会（MMDS 2010）在斯坦福大学举行。MMDS 2010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，应用数学家和数据分析从业者，以促进思想的交叉。MMDS 2010是继前两届MMDS研讨会之后举办的。第一个，MMDS 2006年，解决了补充的观点带来的数值线性代数和理论计算机科学社区矩阵算法在现代信息学应用;第二，MMDS 2008年，探讨了更普遍的基本算法和统计的挑战，在现代大规模数据分析。
英文摘要：
The 2010 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2010) was held at Stanford University, June 15--18. The goals of MMDS 2010 were (1) to explore novel techniques for modeling and analyzing massive, high-dimensional, and nonlinearly-structured scientific and Internet data sets; and (2) to bring together computer scientists, statisticians, applied mathematicians, and data analysis practitioners to promote cross-fertilization of ideas. MMDS 2010 followed on the heels of two previous MMDS workshops. The first, MMDS 2006, addressed the complementary perspectives brought by the numerical linear algebra and theoretical computer science communities to matrix algorithms in modern informatics applications; and the second, MMDS 2008, explored more generally fundamental algorithmic and statistical challenges in modern large-scale data analysis.
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