MMDS 2008: Algorithmic and Statistical Challenges in Mod- ern Large-Scale Data Analysis are the Focus
نویسندگان
چکیده
The 2008 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2008), sponsored by the NSF, DARPA, LinkedIn, and Yahoo!, was held last year at Stanford University, June 25–28, 2008. 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 crossfertilization of ideas.
منابع مشابه
Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis
We provide a report for the ACM SIGKDD community about the 2008 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2008), its origin in MMDS 2006, and future directions for this interdisciplinary research area.
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The 2008 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2008), held at Stanford University, June 25–28, had two goals: first, to explore novel techniques for modeling and analyzing massive, high-dimensional, and nonlinearly structured scientific and Internet data sets, and second, to bring together computer scientists, statisticians, mathematicians, and data analysis practitioners to...
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