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» The Predictability of Data Values
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JSS
2008
157views more  JSS 2008»
13 years 9 months ago
Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation
Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can...
Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun...
ISCA
1997
IEEE
137views Hardware» more  ISCA 1997»
14 years 2 months ago
A Language for Describing Predictors and Its Application to Automatic Synthesis
As processor architectures have increased their reliance on speculative execution to improve performance, the importance of accurate prediction of what to execute speculatively ha...
Joel S. Emer, Nicholas C. Gloy
MLDM
2005
Springer
14 years 3 months ago
A Grouping Method for Categorical Attributes Having Very Large Number of Values
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
Marc Boullé
PKDD
1999
Springer
118views Data Mining» more  PKDD 1999»
14 years 2 months ago
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
Alexandr A. Savinov
AUSAI
1998
Springer
14 years 2 months ago
The Problem of Missing Values in Decision Tree Grafting
Decision tree grafting adds nodes to inferred decision trees. Previous research has demonstrated that appropriate grafting techniques can improve predictive accuracy across a wide ...
Geoffrey I. Webb