MMDS 2008关注现代大规模数据分析中的数学和统计挑战
Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008
摘要：
2008年现代大规模数据集算法研讨会（MMDS 2008）由NSF，DARPA，LinkedIn和Yahoo！赞助，于6月25日至28日在斯坦福大学举行。MMDS 2008的目标是（1）探索建模和分析大规模，高维和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。
英文摘要：
The 2008 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2008), sponsored by the NSF, DARPA, LinkedIn, and Yahoo!, was held at Stanford University, June 25--28. The goals of MMDS 2008 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, mathematicians, and data analysis practitioners to promote cross-fertilization of ideas.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
