Generic software for benchmarking Formal Concept Analysis: Orange3 integration

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Thanks to the internet of things (IoT) and cyber physical systems (CPS), we face an incremental growth of the available data, either on the internet or in private databases. This resulted in data mining techniques becoming an essential piece in the information retrieval process. Moreover, trends lik...

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Autores principales: Leutwyler, Nicolas, Lezoche, Mario, Panetto, Hervé, Torres, Diego
Formato: Articulo
Lenguaje:Inglés
Publicado: 2023
Materias:
Ciencias Informáticas
Formal Concept Analysis
benchmarking
metaprogramming
open source
análisis formal de conceptos
metaprogramación
código abierto
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/162121
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-162121
record_format dspace
spelling I19-R120-10915-1621212024-02-22T18:09:47Z http://sedici.unlp.edu.ar/handle/10915/162121 Generic software for benchmarking Formal Concept Analysis: Orange3 integration Software genérico para benchmarking del Análisis Conceptual Formal: Integración de Orange3 Leutwyler, Nicolas Lezoche, Mario Panetto, Hervé Torres, Diego 2023-12 2023-12-29T14:58:55Z en Ciencias Informáticas Formal Concept Analysis benchmarking metaprogramming open source análisis formal de conceptos metaprogramación código abierto Thanks to the internet of things (IoT) and cyber physical systems (CPS), we face an incremental growth of the available data, either on the internet or in private databases. This resulted in data mining techniques becoming an essential piece in the information retrieval process. Moreover, trends like the industry 4.0 encourages its usage to support data driven decisions, for instance. Formal Concept Analysis (FCA) is one of the most used techniques in the unsupervised data mining field due to its inherent ability to find patterns between concepts. As a consequence, many applications need the use of fast algorithms to perform the calculations to retrieve either the lattice or the association rules related with the data at their disposal. Due to this, scientists often rely on manually crafted benchmarks to compare how certain algorithms perform under different circumstances. In this work, we propose the architecture of a software to generalize these benchmarks independently of the algorithms, to be integrated in the open source data analysis software Orange3. Gracias al internet de las cosas (IoT) y a los sistemas ciberfísicos (CPS), nos enfrentamos a un crecimiento incremental de los datos disponibles, ya sea en internet o en bases de datos privadas. Esto ha hecho que las técnicas de minería de datos se conviertan en una pieza esencial en el proceso de recuperación de información. Además, tendencias como la industria 4.0 fomentan su uso para respaldar, por ejemplo, las decisiones basadas en datos. El análisis formal de conceptos (FCA) es una de las técnicas más utilizadas en el campo de la minería de datos no supervisada debido a su capacidad inherente para encontrar patrones entre conceptos. Como consecuencia, muchas aplicaciones necesitan el uso de algoritmos rápidos para realizar los cálculos y recuperar la red o las reglas de asociación relacionadas con los datos de que disponen. Debido a esto, los científicos a menudo confían en benchmarks elaborados manualmente para comparar el rendimiento de ciertos algoritmos en diferentes circunstancias. En este trabajo, proponemos la arquitectura de un software para generalizar estos benchmarks independientemente de los algoritmos, que se integrará en el software de análisis de datos de código abierto Orange3. This paper is partially supported by funding provided by the STIC AmSud program, Project 22STIC-01. Sociedad Argentina de Informática e Investigación Operativa Laboratorio de Investigación y Formación en Informática Avanzada Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Formal Concept Analysis
benchmarking
metaprogramming
open source
análisis formal de conceptos
metaprogramación
código abierto
spellingShingle Ciencias Informáticas
Formal Concept Analysis
benchmarking
metaprogramming
open source
análisis formal de conceptos
metaprogramación
código abierto
Leutwyler, Nicolas
Lezoche, Mario
Panetto, Hervé
Torres, Diego
Generic software for benchmarking Formal Concept Analysis: Orange3 integration
topic_facet Ciencias Informáticas
Formal Concept Analysis
benchmarking
metaprogramming
open source
análisis formal de conceptos
metaprogramación
código abierto
description Thanks to the internet of things (IoT) and cyber physical systems (CPS), we face an incremental growth of the available data, either on the internet or in private databases. This resulted in data mining techniques becoming an essential piece in the information retrieval process. Moreover, trends like the industry 4.0 encourages its usage to support data driven decisions, for instance. Formal Concept Analysis (FCA) is one of the most used techniques in the unsupervised data mining field due to its inherent ability to find patterns between concepts. As a consequence, many applications need the use of fast algorithms to perform the calculations to retrieve either the lattice or the association rules related with the data at their disposal. Due to this, scientists often rely on manually crafted benchmarks to compare how certain algorithms perform under different circumstances. In this work, we propose the architecture of a software to generalize these benchmarks independently of the algorithms, to be integrated in the open source data analysis software Orange3.
format Articulo
Articulo
author Leutwyler, Nicolas
Lezoche, Mario
Panetto, Hervé
Torres, Diego
author_facet Leutwyler, Nicolas
Lezoche, Mario
Panetto, Hervé
Torres, Diego
author_sort Leutwyler, Nicolas
title Generic software for benchmarking Formal Concept Analysis: Orange3 integration
title_short Generic software for benchmarking Formal Concept Analysis: Orange3 integration
title_full Generic software for benchmarking Formal Concept Analysis: Orange3 integration
title_fullStr Generic software for benchmarking Formal Concept Analysis: Orange3 integration
title_full_unstemmed Generic software for benchmarking Formal Concept Analysis: Orange3 integration
title_sort generic software for benchmarking formal concept analysis: orange3 integration
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/162121
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