1083 search results - page 22 / 217 » Efficient Discovery of Confounders in Large Data Sets |
ACSW
2004
13 years 9 months ago
2004
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
KDD
1998
ACM
13 years 12 months ago
1998
ACM
For a wide variety of classification algorithms, scalability to large databases can be achieved by observing that most algorithms are driven by a set of sufficient statistics that...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
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...
AUSDM
2008
Springer
13 years 9 months ago
2008
Springer
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...