32 search results - page 1 / 7 » A Comparison of Several Approaches to Missing Attribute Valu... |
RSCTC
2000
Springer
13 years 8 months ago
2000
Springer
: In the paper nine different approaches to missing attribute values are presented and compared. Ten input data files were used to investigate the performance of the nine methods t...
RSFDGRC
1999
Springer
13 years 8 months ago
1999
Springer
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...
RSFDGRC
2005
Springer
13 years 10 months ago
2005
Springer
The objective of our research was to find the best approach to handle missing attribute values in data sets describing preterm birth provided by the Duke University. Five strategi...
KDD
2000
ACM
13 years 8 months ago
2000
ACM
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
ICDE
2009
IEEE
15 years 4 months ago
2009
IEEE
Existing approaches on privacy-preserving data publishing rely on the assumption that data can be divided into quasi-identifier attributes (QI) and sensitive attribute (SA). This ...