{"id":"https://openalex.org/W3082112525","doi":"https://doi.org/10.1109/fuzz48607.2020.9177683","title":"Summarizer: Fuzzy Rule-Based Classification Systems for Vertical and Horizontal Big Data","display_name":"Summarizer: Fuzzy Rule-Based Classification Systems for Vertical and Horizontal Big Data","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082112525","doi":"https://doi.org/10.1109/fuzz48607.2020.9177683","mag":"3082112525"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5113915214","display_name":"Petala G. da S. E. Tuy","orcid":null},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Petala G. da S. E. Tuy","raw_affiliation_strings":["IME., Federal University of Bahia, Salvador, Brazil"],"affiliations":[{"raw_affiliation_string":"IME., Federal University of Bahia, Salvador, Brazil","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060282303","display_name":"Tatiane Nogueira Rios","orcid":"https://orcid.org/0000-0002-6992-977X"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Tatiane Nogueira Rios","raw_affiliation_strings":["IME., Federal University of Bahia, Salvador, Brazil"],"affiliations":[{"raw_affiliation_string":"IME., Federal University of Bahia, Salvador, Brazil","institution_ids":["https://openalex.org/I126158947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113915214"],"corresponding_institution_ids":["https://openalex.org/I126158947"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68694553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","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":0.9987000226974487,"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":0.9987000226974487,"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":0.9979000091552734,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.7416307330131531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4704911708831787},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4696993827819824},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.46934401988983154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416307330131531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4704911708831787},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4696993827819824},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46934401988983154}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz48607.2020.9177683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W51110959","https://openalex.org/W1522930108","https://openalex.org/W1526831942","https://openalex.org/W1573698127","https://openalex.org/W1598064945","https://openalex.org/W1857789879","https://openalex.org/W2019759670","https://openalex.org/W2057923756","https://openalex.org/W2078841894","https://openalex.org/W2099454382","https://openalex.org/W2102675003","https://openalex.org/W2113076747","https://openalex.org/W2119893066","https://openalex.org/W2128964655","https://openalex.org/W2135074661","https://openalex.org/W2136222411","https://openalex.org/W2151537585","https://openalex.org/W2158997610","https://openalex.org/W2167101736","https://openalex.org/W2173213060","https://openalex.org/W2189865809","https://openalex.org/W2294798173","https://openalex.org/W2295124130","https://openalex.org/W2346154048","https://openalex.org/W2483329717","https://openalex.org/W2496338429","https://openalex.org/W2621141334","https://openalex.org/W2735540554","https://openalex.org/W2747392221","https://openalex.org/W2790215293","https://openalex.org/W2790825252","https://openalex.org/W2979663785","https://openalex.org/W2995564009","https://openalex.org/W3097993951","https://openalex.org/W4241632459","https://openalex.org/W4252684946","https://openalex.org/W4289236186","https://openalex.org/W4299823361","https://openalex.org/W6631307971","https://openalex.org/W6634201965","https://openalex.org/W6741083112","https://openalex.org/W6823905273"],"related_works":["https://openalex.org/W2348097614","https://openalex.org/W2738546080","https://openalex.org/W2347219288","https://openalex.org/W2354822586","https://openalex.org/W2366221835","https://openalex.org/W3149424243","https://openalex.org/W2358841807","https://openalex.org/W2385750684","https://openalex.org/W2389623173","https://openalex.org/W2291193707"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2,15,73,106,123,130,225,233],"Fuzzy":[3],"Rule-Based":[4],"Classification":[5],"Systems":[6],"(FRBCSs)":[7],"is":[8,45,59,96,127],"highly":[9],"affected":[10],"by":[11,33,41,142,186,203],"the":[12,38,43,54,57,77,80,87,128,139,180,205,209],"increasing":[13],"number":[14,105,122,224,232],"instances":[16,226],"and":[17,51,64,92,117,178],"attributes":[18,234],"present":[19],"in":[20,47,86],"Big":[21,31,197],"Data.":[22],"Previously":[23],"proposed":[24,171,185],"approaches":[25],"try":[26],"to":[27,30,208],"adapt":[28],"FRBCSs":[29],"Data":[32,198],"distributing":[34],"data":[35,44,58,74],"processing":[36,67],"with":[37,114,138,177,221],"MapReduce":[39],"paradigm,":[40],"which":[42,212],"processed":[46],"two":[48],"stages:":[49],"Map":[50,55,88],"Reduce.":[52],"In":[53,76,133],"stage,":[56,79],"divided":[60],"into":[61],"multiple":[62],"blocks":[63],"distributed":[65],"among":[66],"nodes":[68],"that":[69,166,191,194,214],"process":[70,184],"each":[71],"block":[72],"independently.":[75],"Reduce":[78],"results":[81],"coming":[82],"from":[83],"every":[84],"node":[85],"stage":[89],"are":[90],"aggregated":[91],"a":[93,168,222,230],"final":[94],"result":[95],"returned.":[97],"This":[98],"methodology":[99],"tackles":[100,195],"vertical":[101,116,173,196],"high":[102,119,154,174,223,231],"dimensionality":[103,120,175,182],"(high":[104,121],"instances),":[107],"but":[108],"it":[109,126],"does":[110],"not":[111],"approach":[112,146,207],"datasets":[113,176,220],"simultaneous":[115],"horizontal":[118,181],"attributes),":[124],"as":[125,227,229],"case":[129],"text":[131],"datasets.":[132],"this":[134,158],"work,":[135],"we":[136,160],"deal":[137],"aforementioned":[140],"drawbacks":[141],"proposing":[143],"Summarizer,":[144],"an":[145,163,215],"for":[147,152,172,219],"building":[148],"reduced":[149],"feature":[150],"spaces":[151],"horizontally":[153],"dimensional":[155],"data.":[156],"To":[157],"end,":[159],"carry":[161],"out":[162],"empirical":[164],"study":[165],"compares":[167],"well-known":[169],"classifier":[170],"without":[179],"reduction":[183],"Summarizer.":[187],"Our":[188],"findings":[189],"show":[190],"existing":[192],"classifiers":[193],"problems":[199],"can":[200],"be":[201,236],"improved":[202],"adding":[204],"Summarizer":[206],"learning":[210,217],"process,":[211],"suggests":[213],"unified":[216],"algorithm":[218],"well":[228],"might":[235],"possible.":[237]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}