4 search results - page 1 / 1 » Can k-NN imputation improve the performance of C4.5 with sma... |
JSS
2008
13 years 4 months ago
2008
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...
JSS
2007
13 years 4 months ago
2007
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...
PROFES
2010
Springer
13 years 8 months ago
2010
Springer
Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
PROMISE
2010
12 years 11 months ago
2010
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...