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For each of these four tasks we present the results of a systematic review of the literature, by which we report on the main characteristics of the current state of the art, as well as on the quality of reporting and reproducibility level of the works found in the literature. To this aim, we discuss the main benefits, limitations and issues found in the reviewed articles, and we give clear indications and directions for quality improvement that are informed by validation, reporting, and reproducibility standards, guidelines and best practice that have recently emerged in the ML field. Finally, we discuss about the more promising and relevant directions for future research in regard to TWD.<\/jats:p>","DOI":"10.1007\/s10462-024-10845-9","type":"journal-article","created":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T16:03:43Z","timestamp":1722614623000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Three-way decision in machine learning tasks: a systematic review"],"prefix":"10.1007","volume":"57","author":[{"given":"Andrea","family":"Campagner","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frida","family":"Milella","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Davide","family":"Ciucci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Federico","family":"Cabitza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,8,2]]},"reference":[{"key":"10845_CR1","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.ijar.2018.04.001","volume":"98","author":"MK Afridi","year":"2018","unstructured":"Afridi MK, Azam N, Yao J, Alanazi E (2018) A three-way clustering approach for handling missing data using gtrs. 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