78 search results - page 5 / 16 » Mining concept-drifting data streams using ensemble classifi... |
SAC
2005
ACM
15 years 3 months ago
2005
ACM
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
73
Voted
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
SDM
2007
SIAM
14 years 11 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...
98
Voted
KDD
2008
ACM
15 years 10 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...