Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008

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dc.creatorMahoney, Michael W.
dc.creatorLim, Lek-Heng
dc.creatorCarlsson, Gunnar E.
dc.date2008-12-19
dc.date.accessioned2026-07-07T12:20:49Z
dc.date.available2026-07-07T12:20:49Z
dc.descriptionThe 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.
dc.identifierhttps://arxiv.org/abs/0812.3702
dc.identifierhttp://arxiv.org/abs/0812.3702
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/213178
dc.subjectData Structures and Algorithms
dc.titleAlgorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008
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