{"id":"https://openalex.org/W4415353266","doi":"https://doi.org/10.1109/ojcs.2025.3623301","title":"The Chance Set-Up on Pattern Discovery","display_name":"The Chance Set-Up on Pattern Discovery","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415353266","doi":"https://doi.org/10.1109/ojcs.2025.3623301"},"language":"en","primary_location":{"id":"doi:10.1109/ojcs.2025.3623301","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2025.3623301","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/ojcs.2025.3623301","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116406801","display_name":"Ammar Elnour","orcid":"https://orcid.org/0009-0004-0944-2558"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ammar Elnour","raw_affiliation_strings":["School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064277907","display_name":"Wencheng Yang","orcid":"https://orcid.org/0000-0001-7800-2215"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wencheng Yang","raw_affiliation_strings":["School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443879","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-4694-4926"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5116406801"],"corresponding_institution_ids":["https://openalex.org/I185523456"],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37301371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1741","last_page":"1751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9283999800682068,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9283999800682068,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9097999930381775,"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"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.906499981880188,"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/association-rule-learning","display_name":"Association rule learning","score":0.5799999833106995},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48539999127388},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4244000017642975},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.39750000834465027},{"id":"https://openalex.org/keywords/k-optimal-pattern-discovery","display_name":"K-optimal pattern discovery","score":0.3903000056743622},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.3515999913215637}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5799999833106995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5134999752044678},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48539999127388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45159998536109924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4302999973297119},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4244000017642975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41029998660087585},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C105445830","wikidata":"https://www.wikidata.org/wiki/Q6322855","display_name":"K-optimal pattern discovery","level":3,"score":0.3903000056743622},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.31349998712539673},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2825999855995178},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.2711000144481659},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ojcs.2025.3623301","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2025.3623301","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3d99d1842d884e8eb6a1c5c8071964f1","is_oa":true,"landing_page_url":"https://doaj.org/article/3d99d1842d884e8eb6a1c5c8071964f1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Open Journal of the Computer Society, Vol 6, Pp 1741-1751 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/ojcs.2025.3623301","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2025.3623301","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,152],"objective":[1],"of":[2,30,61,73,106,125,136,155,161,172,179],"Association":[3],"Rule":[4],"Mining":[5],"(ARM)":[6],"is":[7,38,158],"to":[8,25,40,102],"discover":[9],"strong":[10],"and":[11,23,32,53,78,123,166],"robust":[12],"relationships":[13],"between":[14],"attributes":[15],"in":[16,139],"databases.":[17],"This":[18,68],"process":[19],"involves":[20],"setting":[21],"controls":[22],"constraints":[24],"determine":[26],"the":[27,59,65,71,88,104,110,114,119,126,129,159,170,177],"minimum":[28],"level":[29],"support":[31],"confidence":[33],"for":[34,82,163],"rules.":[35,151],"However,":[36],"it":[37],"important":[39],"acknowledge":[41],"that":[42,117,145],"some":[43],"rules":[44,165],"may":[45,57,131],"be":[46],"discovered":[47,66,127],"purely":[48],"by":[49],"chance.":[50],"Unseen":[51],"factors":[52],"hidden":[54],"latent":[55],"variables":[56],"affect":[58],"influence":[60],"chance":[62,74,107,137],"set-up":[63,75,108,138],"on":[64,76,109],"associations.":[67],"paper":[69,157],"examines":[70],"impact":[72,135],"ARM":[77,146],"introduces":[79],"a":[80,133],"method":[81,143],"generating":[83],"multiple":[84],"random":[85],"samples":[86,98],"from":[87],"original":[89],"data":[90],"while":[91],"preserving":[92],"its":[93],"key":[94],"characteristics.":[95],"These":[96],"empirical":[97],"are":[99],"then":[100],"used":[101],"infer":[103],"effects":[105],"resulting":[111],"outcomes.":[112],"Additionally,":[113],"results":[115,130],"demonstrate":[116],"despite":[118],"perceived":[120],"importance":[121],"robustness,":[122],"meaningfulness":[124],"rules,":[128],"indicate":[132],"significant":[134],"their":[140],"discovery.":[141],"Our":[142],"shows":[144],"can":[147],"produce":[148],"statistically":[149,182],"insignificant":[150,183],"primary":[153],"contribution":[154],"this":[156],"introduction":[160],"validation":[162],"association":[164],"pattern":[167],"discovery":[168],"within":[169],"framework":[171],"statistical":[173],"inference,":[174],"which":[175],"quantifies":[176],"risk":[178],"falsely":[180],"accepting":[181],"findings.":[184]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-21T00:00:00"}
