A tool for interactive subgroup discovery using distribution rules

Authors:
Joel P. Lucas;Alípio M. Jorge;Fernando Pereira;Ana M. Pernas;Amauri A. Machado
Affiliations:
Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain;Faculdade de Economia, Universidade do Porto, Portugal and LIAAD, INESC Porto L.A., Portugal;Faculdade de Economia, Universidade do Porto, Portugal and LIAAD, INESC Porto L.A., Portugal;Instituto de Física e Matemática, Universidade Federal do Pelotas, Pelotas, RS, Brazil;Instituto de Física e Matemática, Universidade Federal do Pelotas, Pelotas, RS, Brazil
Venue:
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Year:
2007

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Abstract

We describe an approach and a tool for the discovery of subgroups within the framework of distribution rule mining. Distribution rules are a kind of association rules particularly suited for the exploratory study of numerical variables of interest. Being an exploratory technique, the result of a distribution mining process is typically a very large number of patterns. Exploring such results is thus a complex task and limits the use of the technique. To overcome this shortcoming we developed a tool, written in Java, which supports subgroup discovery in a post-processing step. The tool engages the analyst in an interactive process of subgroup discovery by means of a graphical interface with well defined statistical grounds, where domain knowledge can be used during the identification of such subgroups amid the population. We show a case study to analyze the results of students in a large scale university admission examination.