Data Mining Meets Ecology: Evaluating earthworm niche using a shopping cart approach Running title: When data mining meet ecology

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Abstract

The ecological niche of a species is a key concept in ecology, biogeography, and conservation, but its estimation remains challenging. Our study introduces a novel approach integrating data mining with datasets on biological and environmental factors to estimate a species’ ecological niche and its potential as an indicator of environmental conditions. We used the Apriori algorithm from the Arules (Association Rules) library of the R language, applied to a earthworm database associated to a physicochemical database. The results obtained from Arules were in agreement with the earthworm species´ biology information from available literature. This novel approach shows that the use of Apriori is a promising venue to explore possible indicator species and ecological niche estimation in any environment for which there are matching biological and environmental datasets. Supplementary Material File (data_mining_meets_ecology_evaluating_earthworm_niche_using_a_shopping_cart_approach.docx) - Download - 47.22 KB File (figures.docx) - Download - 1.23 MB File (preprint_authorea_data_mining_meets_ecology_evaluating_earthworm_niche_using_a_shopping_cart_approach.pdf) - Download - 1.01 MB File (tables.docx) - Download - 38.02 KB Information & Authors Information Version history Copyright This work is licensed under a Non Exclusive No Reuse License.

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Authors Metrics & Citations Metrics Article Usage 161views 130downloads Citations Download citation Maria Sanabria, Carlos Coviella, Gabriel Tolosa. Data Mining Meets Ecology: Evaluating earthworm niche using a shopping cart approach Running title: When data mining meet ecology. Authorea. 14 November 2025. DOI: https://doi.org/10.22541/au.176314880.03091187/v1 DOI: https://doi.org/10.22541/au.176314880.03091187/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.

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last seen: 2026-05-20T01:45:00.602351+00:00