Expert-Guided Subgroup Discovery: Methodology and Application

06/22/2011
by   D. Gamberger, et al.
0

This paper presents an approach to expert-guided subgroup discovery. The main step of the subgroup discovery process, the induction of subgroup descriptions, is performed by a heuristic beam search algorithm, using a novel parametrized definition of rule quality which is analyzed in detail. The other important steps of the proposed subgroup discovery process are the detection of statistically significant properties of selected subgroups and subgroup visualization: statistically significant properties are used to enrich the descriptions of induced subgroups, while the visualization shows subgroup properties in the form of distributions of the numbers of examples in the subgroups. The approach is illustrated by the results obtained for a medical problem of early detection of patient risk groups.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/03/2022

GeoGebra Discovery in Context

In our contribution we will reflect, through a collection of selected ex...
research
08/13/2018

The perceived quality of process discovery tools

Process discovery has seen a rise in popularity in the last decade for b...
research
12/23/2020

All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees

The aim of a process discovery algorithm is to construct from event data...
research
03/23/2021

Using Meta-learning to Recommend Process Discovery Methods

Process discovery methods have obtained remarkable achievements in Proce...
research
12/15/2021

Text Mining Through Label Induction Grouping Algorithm Based Method

The main focus of information retrieval methods is to provide accurate a...
research
03/25/2021

Robust subgroup discovery

We introduce the problem of robust subgroup discovery, i.e., finding a s...
research
09/30/2021

Process discovery on deviant traces and other stranger things

As the need to understand and formalise business processes into a model ...

Please sign up or login with your details

Forgot password? Click here to reset