A Web-Based Platform for Mining and Ranking Association Rules

In this demo, we introduce an interactive system, which effectively applies multiple criteria analysis to rank association rules. We first use association rules techniques to explore the correlations between variables in given data (i.e., database and linked data (LD)), and secondly apply multiple c...

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Detalles Bibliográficos
Autores principales: Ait-Mlouk, Addi, Jiang, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148072/
http://dx.doi.org/10.1007/978-3-030-45442-5_55
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author Ait-Mlouk, Addi
Jiang, Lili
author_facet Ait-Mlouk, Addi
Jiang, Lili
author_sort Ait-Mlouk, Addi
collection PubMed
description In this demo, we introduce an interactive system, which effectively applies multiple criteria analysis to rank association rules. We first use association rules techniques to explore the correlations between variables in given data (i.e., database and linked data (LD)), and secondly apply multiple criteria analysis (MCA) to select the most relevant rules according to user preferences. The developed system is flexible and allows intuitive creation and execution of different algorithms for an extensive range of advanced data analysis topics. Furthermore, we demonstrate a case study of association rule mining and ranking on road accident data.
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spelling pubmed-71480722020-04-13 A Web-Based Platform for Mining and Ranking Association Rules Ait-Mlouk, Addi Jiang, Lili Advances in Information Retrieval Article In this demo, we introduce an interactive system, which effectively applies multiple criteria analysis to rank association rules. We first use association rules techniques to explore the correlations between variables in given data (i.e., database and linked data (LD)), and secondly apply multiple criteria analysis (MCA) to select the most relevant rules according to user preferences. The developed system is flexible and allows intuitive creation and execution of different algorithms for an extensive range of advanced data analysis topics. Furthermore, we demonstrate a case study of association rule mining and ranking on road accident data. 2020-03-24 /pmc/articles/PMC7148072/ http://dx.doi.org/10.1007/978-3-030-45442-5_55 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Ait-Mlouk, Addi
Jiang, Lili
A Web-Based Platform for Mining and Ranking Association Rules
title A Web-Based Platform for Mining and Ranking Association Rules
title_full A Web-Based Platform for Mining and Ranking Association Rules
title_fullStr A Web-Based Platform for Mining and Ranking Association Rules
title_full_unstemmed A Web-Based Platform for Mining and Ranking Association Rules
title_short A Web-Based Platform for Mining and Ranking Association Rules
title_sort web-based platform for mining and ranking association rules
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148072/
http://dx.doi.org/10.1007/978-3-030-45442-5_55
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