68 search results - page 1 / 14 » A Random Method for Quantifying Changing Distributions in Da... |
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
VLDB
2004
ACM
13 years 9 months ago
2004
ACM
Detecting changes in a data stream is an important area of research with many applications. In this paper, we present a novel method for the detection and estimation of change. In...
INFORMATICALT
2008
13 years 4 months ago
2008
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
ICDM
2007
IEEE
13 years 8 months ago
2007
IEEE
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
EUROGP
2007
Springer
13 years 10 months ago
2007
Springer
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...