1040 search results - page 80 / 208 » TCAM-conscious Algorithms for Data Streams |
PODS
2008
ACM
14 years 10 months ago
2008
ACM
Processing large data streams is now a major topic in data management. The data involved can be truly massive, and the required analyses complex. In a stream of sequential events ...
IDA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. This paper introduces a new algorithm for approximate mining of frequent patterns from streams of transactions using a limited amount of memory. The proposed algorithm co...
APWEB
2005
Springer
14 years 3 months ago
2005
Springer
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
ICIP
2009
IEEE
13 years 8 months ago
2009
IEEE
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
ICALP
2007
Springer
14 years 4 months ago
2007
Springer
We present lower bounds on the space required to estimate the quantiles of a stream of numerical values. Quantile estimation is perhaps the most studied problem in the data stream ...