Work

SDRDPy: An application to graphically visualize the knowledge obtained with supervised descriptive rule algorithms

Year: 2024

Type: software-paper

Abstract: SDRDPy is a desktop application that allows experts an intuitive graphic and tabular representation of the knowledge extracted by any supervised descriptive rule discovery algorithm. The application is able to provide an analysis of the data showing the relevant information of the data set and the relationship between the rules, data and the quality measures associated for each rule regardless of the tool where algorithm has been executed. All of the information is presented in a user-friendly application in order to facilitate expert analysis and also the exportation of reports in different formats.

Source: SoftwareX

DOI: 10.1016/j.softx.2024.101939

Authors: María Asunción Padilla-Rascón, Pedro González, Cristóbal J. Carmona

Institution: Universidad de Jaén

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $970

Funders: Ministerio de Ciencia, Innovación y Universidades, Ministerio de Ciencia e Innovación, Universidad de Jaén, Agencia Estatal de Investigación