{"id":"https://openalex.org/W2055364336","doi":"https://doi.org/10.4018/jdwm.2005010103","title":"Fuzzy Miner","display_name":"Fuzzy Miner","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2055364336","doi":"https://doi.org/10.4018/jdwm.2005010103","mag":"2055364336"},"language":"en","primary_location":{"id":"doi:10.4018/jdwm.2005010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdwm.2005010103","pdf_url":null,"source":{"id":"https://openalex.org/S53932126","display_name":"International Journal of Data Warehousing and Mining","issn_l":"1548-3924","issn":["1548-3924","1548-3932"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Warehousing and Mining","raw_type":"journal-article"},"type":"article","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/A5063577090","display_name":"Nikos Pelekis","orcid":"https://orcid.org/0000-0001-7205-5703"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikos Pelekis","raw_affiliation_strings":["University of Piraeus, Greece & UMIST Manchester, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Piraeus, Greece & UMIST Manchester, UK","institution_ids":["https://openalex.org/I154757721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054908641","display_name":"Babis Theodoulikis","orcid":null},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Babis Theodoulikis","raw_affiliation_strings":["UMIST Manchester, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMIST Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062593128","display_name":"Ioannis Kopanakis","orcid":null},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ioannis Kopanakis","raw_affiliation_strings":["UMIST Manchester, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMIST Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018268830","display_name":"Yannis Theodoridis","orcid":"https://orcid.org/0000-0003-2589-7881"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Yannis Theodoridis","raw_affiliation_strings":["University of Piraeus, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2972,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89440062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":"1","first_page":"57","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9995999932289124,"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/T10320","display_name":"Neural Networks and Applications","score":0.9915000200271606,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.752514660358429},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6896898746490479},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6033821702003479},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.5864509344100952},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5860916972160339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5425596237182617},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.5356615781784058},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.5144891738891602},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5032946467399597},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45297566056251526},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.4454353153705597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43960145115852356},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.41626450419425964},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4125934839248657},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4099728763103485},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.34585702419281006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.752514660358429},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6896898746490479},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6033821702003479},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.5864509344100952},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5860916972160339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425596237182617},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.5356615781784058},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.5144891738891602},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5032946467399597},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45297566056251526},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.4454353153705597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43960145115852356},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.41626450419425964},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4125934839248657},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4099728763103485},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.34585702419281006},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jdwm.2005010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdwm.2005010103","pdf_url":null,"source":{"id":"https://openalex.org/S53932126","display_name":"International Journal of Data Warehousing and Mining","issn_l":"1548-3924","issn":["1548-3924","1548-3932"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Warehousing and Mining","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jdwm00:v:1:y:2005:i:1:p:57-81","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdwm.2005010103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W234457628","https://openalex.org/W1533618852","https://openalex.org/W1538973122","https://openalex.org/W1557923305","https://openalex.org/W1983425265","https://openalex.org/W1988520084","https://openalex.org/W2019606348","https://openalex.org/W2020822564","https://openalex.org/W2036088167","https://openalex.org/W2046738003","https://openalex.org/W2050288270","https://openalex.org/W2069409030","https://openalex.org/W2072343647","https://openalex.org/W2076579537","https://openalex.org/W2096768134","https://openalex.org/W2097571405","https://openalex.org/W2102634648","https://openalex.org/W2103269436","https://openalex.org/W2126385963","https://openalex.org/W2140190241","https://openalex.org/W2153028052","https://openalex.org/W2159265133","https://openalex.org/W2168807180","https://openalex.org/W2496352033"],"related_works":["https://openalex.org/W2674573885","https://openalex.org/W1487720066","https://openalex.org/W1976608231","https://openalex.org/W1975005191","https://openalex.org/W2781808531","https://openalex.org/W3107001035","https://openalex.org/W4361984403","https://openalex.org/W2024822381","https://openalex.org/W3207735076","https://openalex.org/W1501518539"],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2,11,17,26,52,59,62,75,94,125,138,147,150,158],"problem":[3],"of":[4,13,28,54,64,83,96,127,137,160],"classification":[5,53,104],"as":[6],"this":[7,44],"is":[8,99,109,140],"presented":[9],"in":[10,143,157],"context":[12,159],"data":[14],"mining.":[15],"Among":[16],"various":[18],"approaches":[19],"that":[20,77],"are":[21,80,121,163,170],"investigated,":[22],"we":[23],"focus":[24],"on":[25],"use":[27],"Fuzzy":[29,128,161],"Logic":[30],"for":[31,51,111,167],"pattern":[32,103],"classification,":[33],"due":[34],"to":[35,39,123,145],"its":[36,65,168],"close":[37],"relation":[38],"human":[40],"thinking.":[41],"More":[42],"specifically,":[43],"paper":[45],"presents":[46],"a":[47,131,134],"heuristic":[48],"fuzzy":[49,78,97],"method":[50,91],"numerical":[55],"data,":[56],"followed":[57],"by":[58],"design":[60],"and":[61,105,149,165],"implementation":[63],"corresponding":[66,151],"tool":[67],"(Fuzzy":[68],"Miner).":[69],"The":[70],"initial":[71],"idea":[72],"comes":[73],"from":[74,93],"fact":[76],"systems":[79],"universal":[81],"approximators":[82],"any":[84],"real":[85],"continuous":[86],"function.":[87],"Such":[88],"an":[89,106],"approximation":[90],"coming":[92],"domain":[95],"control":[98],"appropriately":[100],"adjusted":[101],"into":[102],"\u201cadaptive\u201d":[107],"procedure":[108],"proposed":[110],"deriving":[112],"highly":[113],"accurate":[114],"linguistic":[115],"if-then":[116],"rules.":[117],"Extensive":[118],"simulation":[119],"tests":[120],"performed":[122],"demonstrate":[124],"performance":[126],"Miner,":[129],"while":[130],"comparison":[132],"with":[133],"neuro-fuzzy":[135],"classifier":[136],"area":[139],"taking":[141],"place":[142],"order":[144],"contradict":[146],"methodologies":[148],"outcomes.":[152],"Finally,":[153],"new":[154],"research":[155],"directions":[156],"Miner":[162],"identified,":[164],"ideas":[166],"improvement":[169],"formulated.":[171]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
