257 search results - page 3 / 52 » An Approximate L1-Difference Algorithm for Massive Data Stre... |
JMLR
2010
13 years 17 days ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
JMLR
2008
13 years 5 months ago
2008
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
VLDB
2005
ACM
13 years 11 months ago
2005
ACM
We study the problem of computing waveletbased synopses for massive data sets in static and streaming environments. A compact representation of a data set is obtained after a thre...
SDM
2012
SIAM
11 years 8 months ago
2012
SIAM
Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and dom...
SDM
2009
SIAM
14 years 3 months ago
2009
SIAM
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...