155 search results - page 4 / 31 » On Information-Theoretic Measures of Attribute Importance |
DKE
2008
13 years 7 months ago
2008
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
ECML
2003
Springer
14 years 18 days ago
2003
Springer
Many machine learning tasks contain feature evaluation as one of its important components. This work is concerned with attribute estimation in the problems where class distribution...
ISCI
2008
13 years 7 months ago
2008
Rough set theory can be applied to rule induction. There are two different types of classification rules, positive and boundary rules, leading to different decisions and consequen...
INFSOF
1998
13 years 7 months ago
1998
Slices as an Abstraction for Cohesion Measurement Linda M. Ott Michigan Technological University James M. Bieman Colorado State University The basis for measuring many attributes ...
DEXA
2003
Springer
14 years 18 days ago
2003
Springer
In this paper, we propose a new feature selection criterion. It is based on the projections of data set elements onto each attribute. The main advantages are its speed and simplici...