{"id":"https://openalex.org/W2895954256","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491500","title":"Improving Fuzzy Rule Based Classification Systems in Big Data via Support-based Filtering","display_name":"Improving Fuzzy Rule Based Classification Systems in Big Data via Support-based Filtering","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2895954256","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491500","mag":"2895954256"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2018.8491500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-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/A5103014243","display_name":"Luis \u00cd\u00f1iguez","orcid":"https://orcid.org/0000-0003-2615-1993"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Luis Iniguez","raw_affiliation_strings":["Dept. of Computer Science and A.I., University of Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and A.I., University of Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048848385","display_name":"Mikel Galar","orcid":"https://orcid.org/0000-0003-2865-6549"},"institutions":[{"id":"https://openalex.org/I175051016","display_name":"Universidad Publica de Navarra","ror":"https://ror.org/02z0cah89","country_code":"ES","type":"education","lineage":["https://openalex.org/I175051016"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mikel Galar","raw_affiliation_strings":["Department of Automatic and Computation, Public University of Navarre, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Automatic and Computation, Public University of Navarre, Spain","institution_ids":["https://openalex.org/I175051016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090921348","display_name":"Alberto Fern\u00e1ndez","orcid":"https://orcid.org/0000-0002-6480-8434"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto Fernandez","raw_affiliation_strings":["Dept. of Computer Science and A.I., University of Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and A.I., University of Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103014243"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7708209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9959999918937683,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9959999918937683,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9932000041007996,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9901000261306763,"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/fuzzy-rule","display_name":"Fuzzy rule","score":0.741489589214325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6591067314147949},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5824163556098938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5384016633033752},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5339545011520386},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5283021926879883},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.516302764415741},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4960189759731293},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.4400781989097595},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43724146485328674},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.4351254999637604},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.35527363419532776}],"concepts":[{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.741489589214325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6591067314147949},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5824163556098938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5384016633033752},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5339545011520386},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5283021926879883},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.516302764415741},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4960189759731293},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.4400781989097595},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43724146485328674},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.4351254999637604},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.35527363419532776},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2018.8491500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323737","display_name":"Ministerio de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/034900433"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W60482913","https://openalex.org/W1485408073","https://openalex.org/W1570448133","https://openalex.org/W1573698127","https://openalex.org/W2016086965","https://openalex.org/W2040263621","https://openalex.org/W2068283474","https://openalex.org/W2102675003","https://openalex.org/W2109574129","https://openalex.org/W2119738171","https://openalex.org/W2128964655","https://openalex.org/W2159094788","https://openalex.org/W2173213060","https://openalex.org/W2346154048","https://openalex.org/W2415277563","https://openalex.org/W2735540554","https://openalex.org/W2764005395","https://openalex.org/W3120740533","https://openalex.org/W6741083112"],"related_works":["https://openalex.org/W2425308538","https://openalex.org/W1980652001","https://openalex.org/W1985154037","https://openalex.org/W64744926","https://openalex.org/W2155210646","https://openalex.org/W2143613987","https://openalex.org/W1504871275","https://openalex.org/W2151351600","https://openalex.org/W2148346439","https://openalex.org/W2132537232"],"abstract_inverted_index":{"Fuzzy":[0,50],"Rule":[1,51],"Based":[2,52],"Classification":[3,53],"Systems":[4],"have":[5,20],"the":[6,13,16,35,40,46,55,147,153,165,175,187,191,194,199,202,208,211,236],"benefit":[7],"of":[8,15,37,49,85,94,177,189,193,201,204,210,215,238],"making":[9],"possible":[10],"to":[11,22,25,34,44,76,163,173,222,234],"understand":[12],"decision":[14],"classifier.":[17],"Additionally,":[18],"they":[19],"shown":[21],"be":[23,59],"robust":[24,86],"solve":[26,164],"complex":[27],"problems.":[28],"When":[29],"these":[30,104],"capabilities":[31],"are":[32,74,90],"applied":[33,115],"context":[36],"Big":[38,117,129,224],"Data,":[39],"benefits":[41],"get":[42],"multiplied.Therefore,":[43],"achieve":[45],"highest":[47],"advantages":[48],"Systems,":[54],"output":[56],"model":[57],"must":[58],"both":[60],"interpretable":[61],"and":[62,198,207],"accurate.":[63],"The":[64,79,213],"former":[65],"is":[66,81,107,144,232],"achieved":[67,82],"by":[68,83,92,157],"using":[69],"fuzzy":[70,87,139,226],"linguistic":[71],"labels,":[72],"that":[73,229],"related":[75,223],"human":[77],"understanding.":[78],"latter":[80],"means":[84,93],"rules,":[88],"which":[89,125],"identified":[91],"a":[95,112,135,158],"component":[96],"known":[97],"as":[98,186],"\"fuzzy":[99],"rule":[100,105,140,154,195,239],"weight\".":[101],"However,":[102],"obtaining":[103,242],"weights":[106,206,240],"computationally":[108],"expensive,":[109],"resulting":[110],"on":[111,146],"bottle-neck":[113],"when":[114],"in":[116,161,220],"Data":[118,130,225],"problems.In":[119],"this":[120,178,230],"work,":[121],"we":[122,180],"propose":[123],"Chi-BD-SF,":[124],"stands":[126],"for":[127],"Chi":[128,149],"Support":[131],"Filtering.":[132],"It":[133,143],"comprises":[134],"scalable":[136],"yet":[137],"accurate":[138,244],"learning":[141],"algorithm.":[142],"based":[145],"well-known":[148],"et":[150],"al.,":[151],"exchanging":[152],"weight":[155],"computation":[156],"support":[159,209],"metric":[160],"order":[162,172],"conflicts":[166],"between":[167],"different":[168],"consequent":[169],"rules.":[170],"In":[171],"show":[174,228],"goodness":[176],"proposal,":[179],"analyze":[181],"several":[182],"performance":[183],"metrics,":[184],"such":[185],"quality":[188],"classification,":[190],"robustness":[192],"base":[196],"generated":[197],"runtimes":[200],"usage":[203,237],"traditional":[205],"rule.":[212],"results":[214],"our":[216],"novel":[217],"Chi-BD-SF":[218],"approach,":[219],"contrast":[221],"classifiers,":[227],"proposal":[231],"able":[233],"out-speed":[235],"also":[241],"more":[243],"results.":[245]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}