{"id":"https://openalex.org/W2004071853","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622516","title":"Processing contradiction in gradual itemset extraction","display_name":"Processing contradiction in gradual itemset extraction","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2004071853","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622516","mag":"2004071853"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2013.6622516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007779381","display_name":"Amal Oudni","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Amal Oudni","raw_affiliation_strings":["Universit\u00e9 Pierre et Marie Curie-Paris6, UMR 7606, LIP6, F-75005, France","LIP6, Univ. Pierre et Marie Curie - Paris 6, Paris, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Pierre et Marie Curie-Paris6, UMR 7606, LIP6, F-75005, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"LIP6, Univ. Pierre et Marie Curie - Paris 6, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075900406","display_name":"Marie\u2010Jeanne Lesot","orcid":"https://orcid.org/0000-0002-3604-6647"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marie-Jeanne Lesot","raw_affiliation_strings":["Sorbonne Universite Campus Pierre et Marie Curie, Paris, \u00c3\u017dle-de-France, FR","LIP6 - UPMC, Paris, France"],"affiliations":[{"raw_affiliation_string":"Sorbonne Universite Campus Pierre et Marie Curie, Paris, \u00c3\u017dle-de-France, FR","institution_ids":["https://openalex.org/I39804081"]},{"raw_affiliation_string":"LIP6 - UPMC, Paris, France","institution_ids":["https://openalex.org/I4210159731","https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110504220","display_name":"Maria Rifqi","orcid":"https://orcid.org/0000-0003-0961-5768"},"institutions":[{"id":"https://openalex.org/I117841876","display_name":"Universit\u00e9 Paris-Panth\u00e9on-Assas","ror":"https://ror.org/04qb2qm38","country_code":"FR","type":"education","lineage":["https://openalex.org/I117841876"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maria Rifqi","raw_affiliation_strings":["Universite Paris 2 Pantheon-Assas, Paris, \u00c3\u017dle-de-France, FR","Univ. Pantheon-Assas, Paris, France"],"affiliations":[{"raw_affiliation_string":"Universite Paris 2 Pantheon-Assas, Paris, \u00c3\u017dle-de-France, FR","institution_ids":["https://openalex.org/I117841876"]},{"raw_affiliation_string":"Univ. Pantheon-Assas, Paris, France","institution_ids":["https://openalex.org/I117841876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007779381"],"corresponding_institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.16153934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9958000183105469,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/contradiction","display_name":"Contradiction","score":0.6857900023460388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.68365877866745},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5366581678390503},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.07786574959754944},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.05616557598114014}],"concepts":[{"id":"https://openalex.org/C2776728590","wikidata":"https://www.wikidata.org/wiki/Q363948","display_name":"Contradiction","level":2,"score":0.6857900023460388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.68365877866745},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5366581678390503},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.07786574959754944},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.05616557598114014},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2013.6622516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01198851v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01198851","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Fuzzy Systems, FUZZIEEE\u20192013, Jul 2013, Hyderabad, India. pp.1-8, ⟨10.1109/FUZZ-IEEE.2013.6622516⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W146342618","https://openalex.org/W1501951799","https://openalex.org/W1525813043","https://openalex.org/W1577893785","https://openalex.org/W1845601347","https://openalex.org/W2006706588","https://openalex.org/W2026652666","https://openalex.org/W2030949032","https://openalex.org/W2070620605","https://openalex.org/W2121515170","https://openalex.org/W2156849891","https://openalex.org/W2972481852","https://openalex.org/W3120740533","https://openalex.org/W6605995705","https://openalex.org/W6767554123"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2381825231","https://openalex.org/W2377933838","https://openalex.org/W2348916262","https://openalex.org/W4210310594","https://openalex.org/W2330422317","https://openalex.org/W2354224618","https://openalex.org/W2354172502","https://openalex.org/W2391836570"],"abstract_inverted_index":{"Gradual":[0],"itemsets":[1,25,35,102],"of":[2,16,58,119],"the":[3,8,14,34,39,46,59,71,85,117,120],"form":[4,15],"\u201cthe":[5,36,43],"more/less":[6,9],"A,":[7,38,45],"B\u201d":[10,41],"extract":[11],"knowledge":[12],"in":[13],"correlations":[17],"between":[18],"attributes.":[19],"The":[20],"methods":[21,97],"for":[22,30,98],"extracting":[23,99],"such":[24],"can":[26],"generate":[27],"contradictory":[28],"itemsets,":[29],"example":[31],"simultaneously":[32],"producing":[33],"more":[37,40,44],"and":[42],"less":[47],"B\u201d.":[48],"To":[49],"process":[50],"these":[51],"contradictions,":[52],"we":[53],"propose":[54],"a":[55,113],"constrained":[56],"definition":[57],"gradual":[60,89,101],"itemset":[61],"support.":[62],"In":[63],"particular,":[64],"it":[65],"does":[66],"not":[67],"only":[68],"depend":[69],"on":[70,76],"considered":[72],"itemset,":[73],"but":[74],"also":[75],"its":[77],"potential":[78],"contradictors.":[79],"An":[80],"algorithm":[81],"to":[82,104],"efficiently":[83],"compute":[84],"proposed":[86],"global":[87],"proper":[88],"support":[90,107],"is":[91],"defined,":[92],"as":[93,95],"well":[94],"two":[96],"frequent":[100],"according":[103],"this":[105],"new":[106],"definition.":[108],"Experimental":[109],"results":[110],"obtained":[111],"from":[112],"real":[114],"dataset":[115],"highlight":[116],"relevance":[118],"approach.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}