Conference Proceedings

Mining influential attributes that capture class and group contrast behaviour

E Loekito, J Bailey

International Conference on Information and Knowledge Management, Proceedings | Published : 2008


Contrast data mining is a key tool fornding differences between sets of objects, or classes, and contrast patterns area popular method for discrimination between two classes. However, such patterns can be limited in two primary ways: i) They do not readily allow second order differentiation - i.e. discovering contrasts of contrasts, ii) Mining contrast patterns often results in an overwhelming volume of output for the user. To address these limitations, this paper proposes a method which can identify contrast behaviour across both classes and also groups of classes. Furthermore, to increase interpretability for the user, it presents a new technique fornding the attributes which represent the..

View full abstract

Citation metrics