5463 search results - page 28 / 1093 » Evaluating algorithms that learn from data streams |
IDA
2007
Springer
14 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...
DEXA
2006
Springer
15 years 1 months ago
2006
Springer
We introduce a classification framework for continuous multivariate stream data. The proposed approach works in two steps. In the preprocessing step, it takes as input a sliding wi...
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MOBIHOC
2008
ACM
15 years 9 months ago
2008
ACM
In many emerging applications, data streams are monitored in a network environment. Due to limited communication bandwidth and other resource constraints, a critical and practical...
SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
There has been a renewed interest in understanding the structure of high dimensional data set based on manifold learning. Examples include ISOMAP [25], LLE [20] and Laplacian Eige...
ICDE
2009
IEEE
14 years 8 months ago
2009
IEEE
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...