16 search results - page 3 / 4 » Incremental Mining of Sequential Patterns over a Stream Slid... |
TKDE
2008
13 years 5 months ago
2008
Although there have been many recent studies on the mining of sequential patterns in a static database and in a database with increasing data, these works, in general, do not fully...
KDD
2008
ACM
14 years 6 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...
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...
KDD
2009
ACM
13 years 10 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...
CIKM
2006
Springer
13 years 9 months ago
2006
Springer
In many applications, classifiers need to be built based on multiple related data streams. For example, stock streams and news streams are related, where the classification patter...