{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/exploiting-anti-monotonicity-of-multi-label","title":"Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules","arxiv_id":"1812.06833","date":"2018-12-14","proceeding":null,"authors":["Michael Rapp","Eneldo Loza Mencía","Johannes Fürnkranz"],"abstract":"Exploiting dependencies between labels is considered to be crucial for\nmulti-label classification. Rules are able to expose label dependencies such as\nimplications, subsumptions or exclusions in a human-comprehensible and\ninterpretable manner. However, the induction of rules with multiple labels in\nthe head is particularly challenging, as the number of label combinations which\nmust be taken into account for each rule grows exponentially with the number of\navailable labels. To overcome this limitation, algorithms for exhaustive rule\nmining typically use properties such as anti-monotonicity or decomposability in\norder to prune the search space. In the present paper, we examine whether\ncommonly used multi-label evaluation metrics satisfy these properties and\ntherefore are suited to prune the search space for multi-label heads.","url_abs":"http://arxiv.org/abs/1812.06833v1","url_pdf":"http://arxiv.org/pdf/1812.06833v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"exploiting-anti-monotonicity-of-multi-label","repo_url":"https://github.com/keelm/SeCo-MLC","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"multi-label-classification-2","task_name":"MUlTI-LABEL-ClASSIFICATION"},{"task_slug":"multi-label-classification","task_name":"Multi-Label Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}