902 search results - page 17 / 181 » Supporting self-adaptation in streaming data mining applicat... |
KDD
2003
ACM
14 years 10 months ago
2003
ACM
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
ICTAI
2007
IEEE
14 years 4 months ago
2007
IEEE
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
AMW
2010
13 years 11 months ago
2010
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
VLDB
2005
ACM
14 years 3 months ago
2005
ACM
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Motivation: Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the re...