424 search results - page 10 / 85 » Mining data streams with periodically changing distributions |
EGC
2009
Springer
13 years 6 months ago
2009
Springer
KDD
2010
ACM
14 years 19 days ago
2010
ACM
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
DEBS
2008
ACM
13 years 10 months ago
2008
ACM
StreamMine is a scalable middleware for massive real-time data streaming. In this paper we present the BFSiena: a communication substrate for the StreamMine. BFSiena is a content-...
DIS
2004
Springer
14 years 2 months ago
2004
Springer
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
KDD
2003
ACM
14 years 9 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...