77 search results - page 10 / 16 » Systematic data selection to mine concept-drifting data stre... |
ECML
1997
Springer
13 years 11 months ago
1997
Springer
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Mining generator patterns has raised great research interest in recent years. The main purpose of mining itemset generators is that they can form equivalence classes together with...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
The phenomenal growth in the volume of easily accessible information via various web-based services has made it essential for service providers to provide users with personalized ...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...