924 search results - page 15 / 185 » Active Mining of Data Streams |
DIS
2004
Springer
14 years 2 months 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 ...
DANCE
2002
IEEE
14 years 1 months ago
2002
IEEE
Panda is middleware designed to bring the benefits of active networks to applications not written with active networks in mind. This paper describes the architecture and implement...
KDD
2003
ACM
14 years 9 months ago
2003
ACM
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
ISMIS
2009
Springer
14 years 3 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...
JIIS
2006
13 years 8 months ago
2006
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...