941 search results - page 15 / 189 » Adaptive Learning from Evolving Data Streams |
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
DIS
2004
Springer
14 years 24 days 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 ...
IV
2010
IEEE
13 years 5 months ago
2010
IEEE
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...
EDBTW
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Most of the recent work on adaptive processing and continuous querying of data streams assume that data objects come in the form of tuples, thus relying on the relational...
DATAMINE
2006
13 years 7 months ago
2006
Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to ...