19 search results - page 2 / 4 » A General Framework for Mining Concept-Drifting Data Streams... |
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
CIKM
2009
Springer
13 years 8 months ago
2009
Springer
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
ICDE
2009
IEEE
14 years 8 days ago
2009
IEEE
Applications involving analysis of data streams have gained significant popularity and importance. Frequency counting, frequent elements and top-k queries form a class of operato...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...