28 search results - page 4 / 6 » STAGGER: Periodicity Mining of Data Streams Using Expanding ... |
KDD
2009
ACM
13 years 11 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
DASFAA
2010
IEEE
13 years 6 months ago
2010
IEEE
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
AUSDM
2007
Springer
14 years 15 days ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
ICDM
2008
IEEE
14 years 23 days ago
2008
IEEE
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
CIKM
2006
Springer
13 years 10 months ago
2006
Springer
By providing an integrated and optimized support for user-defined aggregates (UDAs), data stream management systems (DSMS) can achieve superior power and generality while preservi...