16 search results - page 2 / 4 » The Imaginary Sliding Window As a New Data Structure for Ada... |
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
JCP
2006
13 years 4 months ago
2006
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...