5463 search results - page 28 / 1093 » Evaluating algorithms that learn from data streams |
117
Voted
IDA
2007
Springer
15 years 12 days 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...
104
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DEXA
2006
Springer
15 years 4 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...
127
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MOBIHOC
2008
ACM
16 years 1 days 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...
83
Voted
SDM
2004
SIAM
15 years 1 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...
122
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ICDE
2009
IEEE
14 years 10 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. ...