Generic software for benchmarking formal concept analysis: Orange3 integration

Mostrar todas las versiones(2)

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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Leutwyler, Nicolas, Lezoche, Mario, Panetto, Hervé, Torres, Diego
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2022
Materias:
Ciencias Informáticas
Formal Concept Analysis
benchmarking
metaprogramming
open source
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/158887
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-158887
record_format dspace
spelling I19-R120-10915-1588872024-02-22T18:07:16Z http://sedici.unlp.edu.ar/handle/10915/158887 Generic software for benchmarking formal concept analysis: Orange3 integration Leutwyler, Nicolas Lezoche, Mario Panetto, Hervé Torres, Diego 2022 2023 2023-10-12T17:49:12Z en Ciencias Informáticas Formal Concept Analysis benchmarking metaprogramming open source 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. This paper is partially supported by funding provided by the STIC AmSud program, Project 22STIC-01. Facultad de Informática Objeto de conferencia Objeto de conferencia 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 34-47
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
spellingShingle Ciencias Informáticas
Formal Concept Analysis
benchmarking
metaprogramming
open source
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
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 Objeto de conferencia
Objeto de conferencia
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 2022
url http://sedici.unlp.edu.ar/handle/10915/158887
work_keys_str_mv AT leutwylernicolas genericsoftwareforbenchmarkingformalconceptanalysisorange3integration
AT lezochemario genericsoftwareforbenchmarkingformalconceptanalysisorange3integration
AT panettoherve genericsoftwareforbenchmarkingformalconceptanalysisorange3integration
AT torresdiego genericsoftwareforbenchmarkingformalconceptanalysisorange3integration
_version_ 1807221553377574912

Ejemplares similares