{"id":"https://openalex.org/W7161834223","doi":"https://doi.org/10.1016/j.artint.2026.104561","title":"Innovative constraint models for mining frequent and rare association rules using multi-objective optimization","display_name":"Innovative constraint models for mining frequent and rare association rules using multi-objective optimization","publication_year":2026,"publication_date":"2026-05-20","ids":{"openalex":"https://openalex.org/W7161834223","doi":"https://doi.org/10.1016/j.artint.2026.104561"},"language":"en","primary_location":{"id":"doi:10.1016/j.artint.2026.104561","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.artint.2026.104561","pdf_url":null,"source":{"id":"https://openalex.org/S196139623","display_name":"Artificial Intelligence","issn_l":"0004-3702","issn":["0004-3702","1872-7921"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.artint.2026.104561","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088625815","display_name":"Charles Vernerey","orcid":"https://orcid.org/0000-0002-2922-2833"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4405261681"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Charles Vernerey","raw_affiliation_strings":["IMT Atlantique LS2N, UMR CNRS 6004, Nantes, 44307, France","LIRMM, University of Montpellier, Montpellier, 34095, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMT Atlantique LS2N, UMR CNRS 6004, Nantes, 44307, France","institution_ids":["https://openalex.org/I4210127572","https://openalex.org/I4210117005","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"LIRMM, University of Montpellier, Montpellier, 34095, France","institution_ids":["https://openalex.org/I4210101743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136545809","display_name":"Samir Loudni","orcid":"https://orcid.org/0000-0001-6245-7661"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Samir Loudni","raw_affiliation_strings":["IMT Atlantique LS2N, UMR CNRS 6004, Nantes, 44307, France"],"raw_orcid":"https://orcid.org/0000-0001-6245-7661","affiliations":[{"raw_affiliation_string":"IMT Atlantique LS2N, UMR CNRS 6004, Nantes, 44307, France","institution_ids":["https://openalex.org/I4210127572","https://openalex.org/I4210117005","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003368975","display_name":"Noureddine Aribi","orcid":"https://orcid.org/0000-0003-3204-6065"},"institutions":[{"id":"https://openalex.org/I137407579","display_name":"Universit\u00e9 Oran 1 Ahmed Ben Bella","ror":"https://ror.org/059et2b68","country_code":"DZ","type":"education","lineage":["https://openalex.org/I137407579"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Noureddine Aribi","raw_affiliation_strings":["Lab. LITIO, University of Oran1, Oran, 31000, Algeria"],"raw_orcid":"https://orcid.org/0000-0003-3204-6065","affiliations":[{"raw_affiliation_string":"Lab. LITIO, University of Oran1, Oran, 31000, Algeria","institution_ids":["https://openalex.org/I137407579"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009638239","display_name":"Yahia Lebbah","orcid":"https://orcid.org/0000-0003-4736-2976"},"institutions":[{"id":"https://openalex.org/I137407579","display_name":"Universit\u00e9 Oran 1 Ahmed Ben Bella","ror":"https://ror.org/059et2b68","country_code":"DZ","type":"education","lineage":["https://openalex.org/I137407579"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Yahia Lebbah","raw_affiliation_strings":["Lab. LITIO, University of Oran1, Oran, 31000, Algeria"],"raw_orcid":"https://orcid.org/0000-0003-4736-2976","affiliations":[{"raw_affiliation_string":"Lab. LITIO, University of Oran1, Oran, 31000, Algeria","institution_ids":["https://openalex.org/I137407579"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5136545809"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210117005","https://openalex.org/I4210127572"],"apc_list":{"value":3670,"currency":"USD","value_usd":3670},"apc_paid":{"value":3670,"currency":"USD","value_usd":3670},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77547427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"357","issue":null,"first_page":"104561","last_page":"104561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.8411999940872192,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.8411999940872192,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.03680000081658363,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.023099999874830246,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6832000017166138},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5523999929428101},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4269999861717224},{"id":"https://openalex.org/keywords/rare-events","display_name":"Rare events","score":0.31189998984336853}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6832000017166138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6392999887466431},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5523999929428101},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5221999883651733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4699000120162964},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4269999861717224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34880000352859497},{"id":"https://openalex.org/C2777317252","wikidata":"https://www.wikidata.org/wiki/Q18393516","display_name":"Rare events","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.28110000491142273},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2167000025510788}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.artint.2026.104561","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.artint.2026.104561","pdf_url":null,"source":{"id":"https://openalex.org/S196139623","display_name":"Artificial Intelligence","issn_l":"0004-3702","issn":["0004-3702","1872-7921"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.artint.2026.104561","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.artint.2026.104561","pdf_url":null,"source":{"id":"https://openalex.org/S196139623","display_name":"Artificial Intelligence","issn_l":"0004-3702","issn":["0004-3702","1872-7921"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1532476473","https://openalex.org/W1965895350","https://openalex.org/W1992119405","https://openalex.org/W1993850412","https://openalex.org/W2002597376","https://openalex.org/W2040155776","https://openalex.org/W2040509189","https://openalex.org/W2065789569","https://openalex.org/W2137012502","https://openalex.org/W2160354730","https://openalex.org/W2512519091","https://openalex.org/W4300425102","https://openalex.org/W4385971071"],"related_works":[],"abstract_inverted_index":{"Constraint-based":[0],"pattern":[1,13,119],"mining":[2,10,14,48],"is":[3,93,166],"at":[4],"the":[5,24,51,56,62,87,133,142],"core":[6],"of":[7,53,60,69,89,135,144,163],"numerous":[8],"data":[9,47],"tasks.":[11,20],"Usually,":[12],"problems":[15],"are":[16,27,83],"handled":[17],"as":[18,58],"constraint-solving":[19],"However,":[21],"in":[22],"practice,":[23],"resulting":[25],"patterns":[26,64,136],"often":[28],"large,":[29],"and":[30,125,151,172],"selecting":[31],"appropriate":[32],"thresholds":[33],"for":[34],"these":[35,43],"constraints":[36],"can":[37],"be":[38],"challenging.":[39],"This":[40],"paper":[41],"addresses":[42],"issues":[44],"by":[45],"expanding":[46],"algorithms":[49],"into":[50],"realm":[52],"optimization,":[54],"treating":[55],"task":[57],"one":[59],"identifying":[61],"best":[63],"according":[65],"to":[66,96,109,121,131,147],"a":[67,74,103,127,173],"set":[68],"objective":[70],"functions.":[71],"We":[72,101,140],"explore":[73],"multi-objective":[75],"optimization":[76],"approach,":[77],"where":[78],"several":[79],"potentially":[80],"conflicting":[81],"objectives":[82],"optimized":[84],"simultaneously.":[85],"In":[86],"absence":[88],"preferences,":[90],"Pareto":[91,112],"dominance":[92],"commonly":[94],"used":[95],"identify":[97],"optimal":[98,113],"compromise":[99],"solutions.":[100],"present":[102],"novel":[104],"Constraint":[105],"Programming":[106],"model":[107,116],"designed":[108],"efficiently":[110],"mine":[111],"patterns.":[114],"Our":[115],"leverages":[117],"condensed":[118],"representations":[120],"reduce":[122],"computational":[123],"effort":[124],"introduces":[126],"new":[128],"global":[129],"constraint":[130],"enforce":[132],"closure":[134],"across":[137],"multiple":[138,181],"measures.":[139],"demonstrate":[141],"application":[143],"our":[145,164],"approach":[146,165],"derive":[148],"high-quality":[149],"frequent":[150],"(rare)":[152],"non-redundant":[153],"association":[154],"rules":[155],"without":[156],"relying":[157],"on":[158],"threshold":[159],"values.":[160],"The":[161],"effectiveness":[162],"validated":[167],"using":[168],"both":[169],"UCI":[170],"datasets":[171],"case":[174],"study":[175],"involving":[176],"gene":[177,183],"expression":[178],"analysis,":[179],"integrating":[180],"external":[182],"annotations.":[184]},"counts_by_year":[],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2026-05-21T00:00:00"}
