{"id":"https://openalex.org/W3147638771","doi":"https://doi.org/10.3844/jcssp.2021.330.348","title":"An Interval Type-2 Fuzzy Association Rule Mining Approach to Pattern Discovery in Breast Cancer Dataset","display_name":"An Interval Type-2 Fuzzy Association Rule Mining Approach to Pattern Discovery in Breast Cancer Dataset","publication_year":2021,"publication_date":"2021-03-01","ids":{"openalex":"https://openalex.org/W3147638771","doi":"https://doi.org/10.3844/jcssp.2021.330.348","mag":"3147638771"},"language":"en","primary_location":{"id":"doi:10.3844/jcssp.2021.330.348","doi":"https://doi.org/10.3844/jcssp.2021.330.348","is_oa":true,"landing_page_url":"https://doi.org/10.3844/jcssp.2021.330.348","pdf_url":"https://thescipub.com/pdf/jcssp.2021.330.348.pdf","source":{"id":"https://openalex.org/S50245893","display_name":"Journal of Computer Science","issn_l":"1549-3636","issn":["1549-3636","1552-6607"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4322697006","host_organization_name":"Science Publications","host_organization_lineage":["https://openalex.org/P4322697006"],"host_organization_lineage_names":["Science Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer Science","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://thescipub.com/pdf/jcssp.2021.330.348.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076722247","display_name":"Olufunke Oyejoke Oladipupo","orcid":"https://orcid.org/0000-0003-1309-0159","observed_orcids":["https://orcid.org/0000-0003-1309-0159"]},"institutions":[{"id":"https://openalex.org/I186771145","display_name":"Covenant University","ror":"https://ror.org/00frr1n84","country_code":"NG","type":"education","lineage":["https://openalex.org/I186771145"]}],"countries":["NG"],"is_corresponding":true,"raw_author_name":"Olufunke Oladipupo","raw_affiliation_strings":["Department of Computer and Information Sciences, Covenant University, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Covenant University, Nigeria","institution_ids":["https://openalex.org/I186771145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033768601","display_name":"Oluwole Olajide","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I186771145","display_name":"Covenant University","ror":"https://ror.org/00frr1n84","country_code":"NG","type":"education","lineage":["https://openalex.org/I186771145"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Oluwole Olajide","raw_affiliation_strings":["Department of Computer and Information Sciences, Covenant University, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Covenant University, Nigeria","institution_ids":["https://openalex.org/I186771145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027056527","display_name":"Stephen A. Adubi","orcid":"https://orcid.org/0000-0003-1950-3727","observed_orcids":["https://orcid.org/0000-0003-1950-3727"]},"institutions":[{"id":"https://openalex.org/I186771145","display_name":"Covenant University","ror":"https://ror.org/00frr1n84","country_code":"NG","type":"education","lineage":["https://openalex.org/I186771145"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Stephen Adubi","raw_affiliation_strings":["Department of Computer and Information Sciences, Covenant University, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Covenant University, Nigeria","institution_ids":["https://openalex.org/I186771145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005195211","display_name":"Jelili O. Oyelade","orcid":"https://orcid.org/0000-0002-5476-4992","observed_orcids":["https://orcid.org/0000-0002-5476-4992"]},"institutions":[{"id":"https://openalex.org/I186771145","display_name":"Covenant University","ror":"https://ror.org/00frr1n84","country_code":"NG","type":"education","lineage":["https://openalex.org/I186771145"]},{"id":"https://openalex.org/I4405253191","display_name":"Chrisland University","ror":"https://ror.org/00d1mx684","country_code":"NG","type":"education","lineage":["https://openalex.org/I4405253191"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Jelili Oyelade","raw_affiliation_strings":["Department of Computer Science, Chrisland University, Nigeria","Department of Computer and Information Sciences, Covenant University, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chrisland University, Nigeria","institution_ids":["https://openalex.org/I4405253191"]},{"raw_affiliation_string":"Department of Computer and Information Sciences, Covenant University, Nigeria","institution_ids":["https://openalex.org/I186771145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087794996","display_name":"Zacchaeus O. Omogbadegun","orcid":"https://orcid.org/0000-0001-7152-5670","observed_orcids":["https://orcid.org/0000-0001-7152-5670"]},"institutions":[{"id":"https://openalex.org/I186771145","display_name":"Covenant University","ror":"https://ror.org/00frr1n84","country_code":"NG","type":"education","lineage":["https://openalex.org/I186771145"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Zacchaeus Omogbadegun","raw_affiliation_strings":["Department of Computer and Information Sciences, Covenant University, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Covenant University, Nigeria","institution_ids":["https://openalex.org/I186771145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076722247"],"corresponding_institution_ids":["https://openalex.org/I186771145"],"apc_list":null,"apc_paid":null,"fwci":0.4158,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68837352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":94},"biblio":{"volume":"17","issue":"3","first_page":"330","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.8833000063896179,"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":0.8833000063896179,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.07930000126361847,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.016100000590085983,"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/interval-type-2-fuzzy-sets","display_name":"interval type-2 fuzzy sets","score":0.9330000281333923},{"id":"https://openalex.org/keywords/association-rule-mining","display_name":"association rule mining","score":0.9359999895095825},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"breast cancer","score":0.8700000047683716},{"id":"https://openalex.org/keywords/fp-growth-algorithm","display_name":"FP-Growth algorithm","score":0.765999972820282},{"id":"https://openalex.org/keywords/fuzzification","display_name":"fuzzification","score":0.628000020980835},{"id":"https://openalex.org/keywords/jaccard-similarity","display_name":"Jaccard similarity","score":0.843999981880188},{"id":"https://openalex.org/keywords/breast-cancer-diagnosis","display_name":"breast cancer diagnosis","score":0.8809999823570251},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"decision support system","score":0.5120000243186951},{"id":"https://openalex.org/keywords/rule-redundancy-reduction","display_name":"rule redundancy reduction","score":0.5479999780654907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8253447413444519},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7286574244499207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5824666619300842},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5729827284812927},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5376341342926025},{"id":"https://openalex.org/C105445830","wikidata":"https://www.wikidata.org/wiki/Q6322855","display_name":"K-optimal pattern discovery","level":3,"score":0.4942657947540283},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.44518983364105225},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.44415977597236633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41388705372810364},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3890889883041382},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35926249623298645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.331787109375},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13461139798164368},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10595494508743286},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09755945205688477},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3844/jcssp.2021.330.348","doi":"https://doi.org/10.3844/jcssp.2021.330.348","is_oa":true,"landing_page_url":"https://doi.org/10.3844/jcssp.2021.330.348","pdf_url":"https://thescipub.com/pdf/jcssp.2021.330.348.pdf","source":{"id":"https://openalex.org/S50245893","display_name":"Journal of Computer Science","issn_l":"1549-3636","issn":["1549-3636","1552-6607"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4322697006","host_organization_name":"Science Publications","host_organization_lineage":["https://openalex.org/P4322697006"],"host_organization_lineage_names":["Science Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:eprints.covenantuniversity.edu.ng:14712","doi":null,"is_oa":false,"landing_page_url":"http://eprints.covenantuniversity.edu.ng/14712/1/paper1N.pdf","pdf_url":"http://eprints.covenantuniversity.edu.ng/14712/1/paper1N.pdf","source":{"id":"https://openalex.org/S4306400995","display_name":"Covenant University Repository (Covenant University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I186771145","host_organization_name":"Covenant University","host_organization_lineage":["https://openalex.org/I186771145"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.3844/jcssp.2021.330.348","doi":"https://doi.org/10.3844/jcssp.2021.330.348","is_oa":true,"landing_page_url":"https://doi.org/10.3844/jcssp.2021.330.348","pdf_url":"https://thescipub.com/pdf/jcssp.2021.330.348.pdf","source":{"id":"https://openalex.org/S50245893","display_name":"Journal of Computer Science","issn_l":"1549-3636","issn":["1549-3636","1552-6607"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4322697006","host_organization_name":"Science Publications","host_organization_lineage":["https://openalex.org/P4322697006"],"host_organization_lineage_names":["Science Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8371999859809875}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323779","display_name":"Covenant University","ror":"https://ror.org/00frr1n84"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3147638771.pdf","grobid_xml":"https://content.openalex.org/works/W3147638771.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W28669376","https://openalex.org/W29190612","https://openalex.org/W564030374","https://openalex.org/W1178241298","https://openalex.org/W1592289146","https://openalex.org/W1985279213","https://openalex.org/W1985317768","https://openalex.org/W1985762823","https://openalex.org/W2011799606","https://openalex.org/W2020694587","https://openalex.org/W2036959577","https://openalex.org/W2037940305","https://openalex.org/W2038546487","https://openalex.org/W2039331278","https://openalex.org/W2041345380","https://openalex.org/W2060337370","https://openalex.org/W2062636054","https://openalex.org/W2065750810","https://openalex.org/W2088664954","https://openalex.org/W2096023570","https://openalex.org/W2097346619","https://openalex.org/W2099149812","https://openalex.org/W2099167408","https://openalex.org/W2103232511","https://openalex.org/W2114154735","https://openalex.org/W2117501337","https://openalex.org/W2121902137","https://openalex.org/W2122878061","https://openalex.org/W2124611117","https://openalex.org/W2132918796","https://openalex.org/W2140007569","https://openalex.org/W2140457971","https://openalex.org/W2170198711","https://openalex.org/W2179629306","https://openalex.org/W2190746225","https://openalex.org/W2266953847","https://openalex.org/W2297028316","https://openalex.org/W2394309960","https://openalex.org/W2395154047","https://openalex.org/W2395652896","https://openalex.org/W2473482386","https://openalex.org/W2478026606","https://openalex.org/W2559937118","https://openalex.org/W2576787043","https://openalex.org/W2585496890","https://openalex.org/W2587398995","https://openalex.org/W2611462593","https://openalex.org/W2766791292","https://openalex.org/W2770459111","https://openalex.org/W2781525129","https://openalex.org/W2783128339","https://openalex.org/W2790953907","https://openalex.org/W2791601102","https://openalex.org/W2797855141","https://openalex.org/W2806419994","https://openalex.org/W2887045471","https://openalex.org/W3019898597","https://openalex.org/W3029217105","https://openalex.org/W3031119188","https://openalex.org/W3041742839","https://openalex.org/W3041936671","https://openalex.org/W4242463569","https://openalex.org/W4245152641","https://openalex.org/W4247749894","https://openalex.org/W4300175703","https://openalex.org/W6991994460"],"related_works":["https://openalex.org/W4200446034","https://openalex.org/W4294043417","https://openalex.org/W3026985350","https://openalex.org/W2149326463","https://openalex.org/W6991994460","https://openalex.org/W2503197201","https://openalex.org/W2529381423","https://openalex.org/W2020147135","https://openalex.org/W2173979940","https://openalex.org/W2171791706"],"abstract_inverted_index":{"In":[0,32,52,76],"the":[1,53,59,64,77,89,93,98,125,128,133,207],"literature,":[2],"several":[3],"methods":[4],"explored":[5],"to":[6,13,21,144,201],"analyze":[7],"breast":[8,28,49,65,102,178,234],"cancer":[9,29,50,66,103,235],"dataset":[10,30,67,91],"have":[11],"failed":[12],"sufficiently":[14],"handle":[15],"quantitative":[16,194],"attribute":[17],"sharp":[18],"boundary":[19],"problem":[20],"resolve":[22],"inter":[23],"and":[24,73,106,166,214,228],"intra":[25],"uncertainties":[26],"in":[27,48,185,224],"analysis.":[31],"this":[33,57],"study":[34],"an":[35],"Interval":[36],"Type-2":[37,61],"fuzzy":[38],"association":[39,195],"rule":[40,196],"mining":[41],"approach":[42,182],"is":[43,68,82,138,142,199],"proposed":[44,181],"for":[45,84,101,176,233],"pattern":[46,86],"discovery":[47,87],"dataset.":[51],"first":[54,94],"part":[55],"of":[56,63,127,151,169,187,209],"analysis,":[58],"interval":[60],"fuzzification":[62],"carried":[69],"out":[70],"using":[71],"Hao":[72],"Mendel":[74],"approach.":[75],"second":[78],"part,":[79],"FP-growth":[80],"algorithm":[81],"adopted":[83],"associative":[85,146],"from":[88,92,114],"fuzzified":[90],"part.":[95],"To":[96,123],"define":[97],"intuitive":[99],"words":[100],"determinant":[104,174],"factors":[105,175],"expert":[107,230,239],"data":[108],"interval,":[109],"thirty":[110],"(30)":[111],"medical":[112],"experts":[113],"specialized":[115],"hospitals":[116],"were":[117],"consulted":[118],"through":[119],"questionnaire":[120],"poling":[121],"method.":[122],"establish":[124],"adequacy":[126],"linguistic":[129],"word":[130],"defined":[131],"by":[132,212,217],"expert,":[134],"Jaccard":[135],"similarity":[136],"measure":[137],"used.":[139],"This":[140],"analysis":[141],"able":[143,200],"discover":[145],"rules":[147,188,204,211,221],"with":[148,192],"minimum":[149],"number":[150,208],"symptoms":[152],"at":[153],"confidence":[154],"values":[155],"as":[156,158,172],"high":[157],"91%.":[159],"It":[160,198],"also":[161],"identifies":[162],"High":[163,167],"Bare":[164],"Nuclei":[165],"Uniformity":[168],"Cell":[170],"Shape":[171],"strong":[173],"diagnosing":[177],"cancer.":[179],"The":[180,219],"performed":[183],"better":[184],"terms":[186],"generated":[189,210],"when":[190],"compared":[191],"traditional":[193],"mining.":[197],"eliminate":[202],"redundant":[203],"which":[205],"reduce":[206],"39.5%":[213],"memory":[215],"usage":[216],"22.6%.":[218],"discovered":[220],"are":[222],"viable":[223],"building":[225],"a":[226],"comprehensive":[227],"compact":[229],"driven":[231],"knowledge-base":[232],"decision":[236],"support":[237],"or":[238],"system.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-04-13T00:00:00"}