{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T19:08:51Z","timestamp":1758395331544},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7]]},"abstract":"<jats:p>Constraint-based pattern mining is at the core of numerous data mining tasks. Unfortunately, thresholds which are involved in these constraints cannot be easily chosen. This paper investigates a Multi-objective Optimization approach where several (often conflicting) functions need to be optimized at the same time. We introduce a new model for efficiently mining Pareto optimal patterns with constraint programming. Our model exploits condensed pattern representations to reduce the mining effort. To this end, we design a new  global constraint for ensuring the closeness of patterns over a set of measures. We show how our approach can be applied to derive high-quality non redundant association rules without the use of thresholds whose added-value is studied on both UCI datasets and case study related to the analysis of genes expression data integrating multiple external genes annotations.<\/jats:p>","DOI":"10.24963\/ijcai.2022\/261","type":"proceedings-article","created":{"date-parts":[[2022,7,16]],"date-time":"2022-07-16T02:55:56Z","timestamp":1657940156000},"page":"1880-1886","source":"Crossref","is-referenced-by-count":2,"title":["Threshold-free Pattern Mining Meets Multi-Objective Optimization: Application to Association Rules"],"prefix":"10.24963","author":[{"given":"Charles","family":"Vernerey","sequence":"first","affiliation":[{"name":"TASC (LS2N-CNRS), IMT Atlantique"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samir","family":"Loudni","sequence":"additional","affiliation":[{"name":"TASC (LS2N-CNRS), IMT Atlantique"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Noureddine","family":"Aribi","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Oran1, Lab. LITIO"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yahia","family":"Lebbah","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Oran1, Lab. LITIO"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"31","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2022","name":"Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}","start":{"date-parts":[[2022,7,23]]},"theme":"Artificial Intelligence","location":"Vienna, Austria","end":{"date-parts":[[2022,7,29]]}},"container-title":["Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T11:08:40Z","timestamp":1658142520000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2022\/261"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2022\/261","relation":{},"subject":[],"published":{"date-parts":[[2022,7]]}}}