Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
This work sets the formal bases for building tools that help retrieve classes in object-oriented libraries. In such systems, the user provides a query, formulated as a set of class...
The Object Constraint Language OCL is a textual specification language that could be used for constraining the modelling elements that occur in UML diagrams. Typical constraints i...
Our objective is a comparison of two data mining approaches to dealing with imbalanced data sets. The first approach is based on saving the original rule set, induced by the LEM2 ...
Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon...
A friendship system is introduced for modular static verification of object invariants. It extends a previous methodology, based on ownership hierarchy encoded in auxiliary state,...