7 search results - page 1 / 2 » Handling Missing Attribute Values in Preterm Birth Data Sets |
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...
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...
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,...
SOFTWARE
2002
13 years 4 months ago
2002
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
VLDB
2007
ACM
13 years 10 months ago
2007
ACM
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...