5463 search results - page 33 / 1093 » Evaluating algorithms that learn from data streams |
83
Voted
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
95
Voted
SSDBM
2007
IEEE
15 years 4 months ago
2007
IEEE
Applications that query data streams in order to identify trends, patterns, or anomalies can often benefit from comparing the live stream data with archived historical stream dat...
FOCS
2008
IEEE
15 years 4 months ago
2008
IEEE
We consider the read/write streams model, an extension of the standard data stream model in which an algorithm can create and manipulate multiple read/write streams in addition to...
102
Voted
IDEAS
2007
IEEE
15 years 4 months ago
2007
IEEE
A sliding window join (SWJoin) is becoming an integral operation in every stream data management system. In some streaming applications the increasing volume of streamed data as w...
CIKM
2006
Springer
15 years 1 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...