902 search results - page 2 / 181 » Supporting self-adaptation in streaming data mining applicat... |
IDEAS
2000
IEEE
13 years 9 months ago
2000
IEEE
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
CSE
2009
IEEE
13 years 8 months ago
2009
IEEE
Fault tolerance is a constant concern in data centers where servers have to run with a minimal level of failures. Changes on the operating conditions or on server demands, and var...
ADC
2008
Springer
13 years 11 months ago
2008
Springer
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Sensor devices are becoming ubiquitous, especially in measurement and monitoring applications. Because of the real-time, append-only and semi-infinite natures of the generated se...
ISMIS
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...