151 search results - page 3 / 31 » Discretization from data streams: applications to histograms... |
KDD
2002
ACM
14 years 5 months ago
2002
ACM
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
ISMIS
2009
Springer
13 years 11 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...
ICDE
2006
IEEE
14 years 6 months ago
2006
IEEE
Aggregate monitoring over data streams is attracting more and more attention in research community due to its broad potential applications. Existing methods suffer two problems, 1...
JIIS
2006
13 years 5 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...
CIKM
2009
Springer
13 years 8 months ago
2009
Springer
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....