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

13 years 4 months ago

Download cs-www.cs.yale.edu

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.

Michael W. Mahoney, Lek-Heng Lim, Gunnar E. Carlss

Real-time Traffic

ACM SIGKDD Community | CORR 2008 | Education | MMDS | Modern Massive Data |

claim paper

» Sisa Seeded Iterative Signature Algorithm for Biclustering Gene Expression Data

» The SeqWord Genome Browser an online tool for the identification and visualization of atyp...

» A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networ...

» Bayesian modeling of recombination events in bacterial populations

Post Info
More Details (n/a)

Added	10 Dec 2010
Updated	10 Dec 2010
Type	Journal
Year	2008
Where	CORR
Authors	Michael W. Mahoney, Lek-Heng Lim, Gunnar E. Carlsson

Comments (0)

Sciweavers

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

ACM SIGKDD Community | CORR 2008 | Education | MMDS | Modern Massive Data |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers