Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008
Data Structures and Algorithms
2008-12-22 v1
Abstract
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.
Keywords
Cite
@article{arxiv.0812.3702,
title = {Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008},
author = {Michael W. Mahoney and Lek-Heng Lim and Gunnar E. Carlsson},
journal= {arXiv preprint arXiv:0812.3702},
year = {2008}
}