Work

Exploring the Data Using Extended Association Rule Network

Year: 2018

Type: conference-paper

Abstract: In this paper, we presented the Extended Association Rule Network (ExARN) to structure, prune and analyze a set of association rules, aiming to build hypothesis candidates. The ExARN extends the ARN, proposed by [2], allowing a more complete exploration. We validate the ExARN using two databases: contact lenses and hayes-roth, both available online for download. The results were validated by comparing the ExARN to the conventional ARN and also by comparing the results with a decision tree algorithms. The approach presented promising results, showing its capability to explain a set of objective items, aiding the user on the hypothesis building.

Source: Brazilian Conference on Intelligent Systems

DOI: 10.1109/bracis.2018.00064

Authors: Renan de Padua, Dario Brito Calcada, Veronica Oliveira de Carvalho, Solange Oliveira Rezende

Institutions: Universidade de São Paulo, Universidade Estadual Paulista (Unesp)

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2904837633

FWCI: 0.167

Cites: 10

Cited by: 2

Related to: 10