Naslov
Relevancy in Constraint-Based Subgroup Discovery

Autori
Lavrač, Nada ; Gamberger, Dragan

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Constraint-Based Mining and Inductive Databases

Urednik/ci
Boulicaut, Jean-Francois ; De Raedt, Luc ; Mannila, Heikki

Izdavač
Springer

Grad
Berlin

Godina
2005

Raspon stranica
243-266

ISBN
3-540-31331-1

Ključne riječi
Constraint-based mining, Subgroup discovery, Relevancy constraints

Sažetak
This chapter investigates subgroup discovery as a task of constraint-based mining of local patterns, aimed at describing groups of individuals with unusual distributional characteristics with respect to the property of interest. The chapter provides a novel interpretation of relevancy constraints and their use for feature filtering, introduces relevancy-based mechanisms for handling unknown values in the examples, and discusses the concept of relevancy as an approach to avoiding overfitting in subgroup discovery. The proposed approach to constraint-based subgroup mining, using the SD algorithm, was successfully applied to gene expression data analysis in functional genomics.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA