257 search results - page 4 / 52 » An Approximate L1-Difference Algorithm for Massive Data Stre... |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
ESANN
2008
14 years 11 months ago
2008
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
EDBT
2006
ACM
15 years 9 months ago
2006
ACM
Recent years have seen growing interest in effective algorithms for summarizing and querying massive, high-speed data streams. Randomized sketch synopses provide accurate approxima...
66
Voted
JMLR
2010
14 years 4 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
CORR
2006
Springer
14 years 9 months ago
2006
Springer