257 search results - page 4 / 52 » An Approximate L1-Difference Algorithm for Massive Data Stre... |
95
Voted
ICML
2010
IEEE
15 years 22 days 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...
96
Voted
ESANN
2008
15 years 1 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...
86
Voted
EDBT
2006
ACM
15 years 11 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...
JMLR
2010
14 years 6 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 11 months ago
2006
Springer