{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:38:12Z","timestamp":1760243892783,"version":"build-2065373602"},"reference-count":11,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2010,2,23]],"date-time":"2010-02-23T00:00:00Z","timestamp":1266883200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>In this paper, we apply various data mining techniques including continuous numeric and discrete classification prediction models of base oils biodegradability, with emphasis on improving prediction accuracy. The results show that highly biodegradable oils can be better predicted through numeric models. In contrast, classification models did not uncover a similar dichotomy. With the exception of Memory Based Reasoning and Decision Trees, tested classification techniques achieved high classification prediction. However, the technique of Decision Trees helped uncover the most significant predictors. A simple classification rule derived based on this predictor resulted in good classification accuracy. The application of this rule enables efficient classification of base oils into either low or high biodegradability classes with high accuracy. For the latter, a higher precision biodegradability prediction can be obtained using continuous modeling techniques.<\/jats:p>","DOI":"10.3390\/algor3010092","type":"journal-article","created":{"date-parts":[[2010,2,23]],"date-time":"2010-02-23T11:22:12Z","timestamp":1266924132000},"page":"92-99","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Base Oils Biodegradability Prediction with Data Mining Techniques"],"prefix":"10.3390","volume":"3","author":[{"given":"Sihem Ben","family":"Abdelmelek","sequence":"first","affiliation":[{"name":"University of Bizerte, Bizerte, Zarzouna 7021, Tunisia"}]},{"given":"Saloua","family":"Saidane","sequence":"additional","affiliation":[{"name":"San Diego Mesa College, 7250 Mesa College Drive, Room K202, San Diego, CA 92111, USA"}]},{"given":"Malika","family":"Trabelsi","sequence":"additional","affiliation":[{"name":"University of Bizerte, Bizerte, Zarzouna 7021, Tunisia"}]}],"member":"1968","published-online":{"date-parts":[[2010,2,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1016\/S0045-6535(02)00666-5","article-title":"Multivariate regression modeling of mineral base oil biodegradability based on their physical properties and overall chemical composition","volume":"50","author":"Haus","year":"2003","journal-title":"Chemosphere"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.aca.2003.10.074","article-title":"Establishing structure-property correlations and classification of base oils using statistical techniques and artificial neural networks","volume":"506","author":"Kapur","year":"2004","journal-title":"Anal. Chim. Acta"},{"key":"ref_3","unstructured":"Zeroski, S., Blockeel, H., Kompare, P., Pfahringer, B., and Laer, W.V. (, January June). Experiments in predicting biodegradability. Proceedings of the 9th International Workshop on Inductive Logic Programming, Bled, Slovenia."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1002\/qsar.19930120108","article-title":"New trends in structure-biodegradability relationships","volume":"12","author":"Cambon","year":"1993","journal-title":"Quant. Struct. Act. Relat."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1021\/es00064a005","article-title":"Screening-level model for aerobic biodegradability based on a survey of expert knowledge","volume":"23","author":"Boethling","year":"1989","journal-title":"Environ. Sci. 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Int."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1409","DOI":"10.1016\/S0045-6535(98)00543-8","article-title":"Evaluation and application of models for the prediction of ready biodegradability in the MITI-I test","volume":"38","author":"Rorije","year":"1999","journal-title":"Chemosphere"}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/3\/1\/92\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T22:01:31Z","timestamp":1760220091000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/3\/1\/92"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,2,23]]},"references-count":11,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2010,3]]}},"alternative-id":["algor3010092"],"URL":"https:\/\/doi.org\/10.3390\/algor3010092","relation":{},"ISSN":["1999-4893"],"issn-type":[{"type":"electronic","value":"1999-4893"}],"subject":[],"published":{"date-parts":[[2010,2,23]]}}}