GBAR MVC : Generic Basis of Association Rules BasedApproach forMissing Values Completion
Leila Ben Othman, Sadok Ben Yahia · 2011
When tackling real -life datasets, it is common to face the existence of scrambled missing values within data.Considered asdirty data �, it is usually removed during the pre -processing step of the KDD process. Starting from the fact thatmaking up this missi ng data is better than throwing it away �, we present a new approach trying to complete the missing data. The main singularity of theintroduced approachis that it sh edslightona fruitful synergy betweengeneric basisofassociation rules and the topic of missing values handling. In fact, beyond