{"id":"https://openalex.org/W3013858728","doi":"https://doi.org/10.1186/s40537-020-00298-6","title":"An overview of recent distributed algorithms for learning fuzzy models in Big Data classification","display_name":"An overview of recent distributed algorithms for learning fuzzy models in Big Data classification","publication_year":2020,"publication_date":"2020-03-10","ids":{"openalex":"https://openalex.org/W3013858728","doi":"https://doi.org/10.1186/s40537-020-00298-6","mag":"3013858728"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-020-00298-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00298-6","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00298-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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 Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00298-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050435146","display_name":"Pietro Ducange","orcid":"https://orcid.org/0000-0003-4510-1350"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pietro Ducange","raw_affiliation_strings":["Dipartimento di Ingegneria dell\u2019Informazione, Largo Lucio Lazzarino, 1, 56122, Pisa, Italy","Dipartimento di Ingegneria dell'Informazione, Largo Lucio Lazzarino, 1, 56122, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dell\u2019Informazione, Largo Lucio Lazzarino, 1, 56122, Pisa, Italy","institution_ids":[]},{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione, Largo Lucio Lazzarino, 1, 56122, Pisa, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028921700","display_name":"Michela Fazzolari","orcid":"https://orcid.org/0000-0002-8562-6904"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michela Fazzolari","raw_affiliation_strings":["Istituto di Informatica e Telematica - Consiglio Nazionale delle Ricerche (IIT-CNR), Via Giuseppe Moruzzi, 1, 56124, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto di Informatica e Telematica - Consiglio Nazionale delle Ricerche (IIT-CNR), Via Giuseppe Moruzzi, 1, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I4210130157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057031606","display_name":"Francesco Marcelloni","orcid":"https://orcid.org/0000-0002-5895-876X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francesco Marcelloni","raw_affiliation_strings":["Dipartimento di Ingegneria dell\u2019Informazione, Largo Lucio Lazzarino, 1, 56122, Pisa, Italy","Dipartimento di Ingegneria dell'Informazione, Largo Lucio Lazzarino, 1, 56122, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dell\u2019Informazione, Largo Lucio Lazzarino, 1, 56122, Pisa, Italy","institution_ids":[]},{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione, Largo Lucio Lazzarino, 1, 56122, Pisa, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050435146"],"corresponding_institution_ids":[],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":2.7184,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92038482,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.998199999332428,"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":0.998199999332428,"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":0.9898999929428101,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9871000051498413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8752248287200928},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.831514835357666},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6626457571983337},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6478245258331299},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6304507255554199},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.5728812217712402},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4822181463241577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47930946946144104},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.41954296827316284},{"id":"https://openalex.org/keywords/programming-paradigm","display_name":"Programming paradigm","score":0.4136372208595276},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4069761633872986},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3484797179698944},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32651931047439575},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21275392174720764}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8752248287200928},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.831514835357666},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6626457571983337},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6478245258331299},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6304507255554199},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5728812217712402},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4822181463241577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47930946946144104},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.41954296827316284},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.4136372208595276},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4069761633872986},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3484797179698944},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32651931047439575},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21275392174720764},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s40537-020-00298-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00298-6","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00298-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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 Big Data","raw_type":"journal-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1039203","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/1039203","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:b50ee0a660bd420ea063477cf7c42a31","is_oa":true,"landing_page_url":"https://doaj.org/article/b50ee0a660bd420ea063477cf7c42a31","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 7, Iss 1, Pp 1-29 (2020)","raw_type":"article"},{"id":"pmh:oai:zenodo.org:109903","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/109903","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/s40537-020-00298-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00298-6","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00298-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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 Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1464101492","display_name":null,"funder_award_id":"FESR 2014-2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G2484832597","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G453067482","display_name":null,"funder_award_id":"014-2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G5634946813","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G8091430692","display_name":null,"funder_award_id":"(MIUR)","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"}],"funders":[{"id":"https://openalex.org/F4320317295","display_name":"Dipartimenti di Eccellenza","ror":null},{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"},{"id":"https://openalex.org/F4320326084","display_name":"Regione Toscana","ror":null},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013858728.pdf","grobid_xml":"https://content.openalex.org/works/W3013858728.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W142258998","https://openalex.org/W416578099","https://openalex.org/W1488107040","https://openalex.org/W1518754760","https://openalex.org/W1570448133","https://openalex.org/W1583082330","https://openalex.org/W1858291613","https://openalex.org/W1965563268","https://openalex.org/W1966772365","https://openalex.org/W1977904727","https://openalex.org/W1987605703","https://openalex.org/W1996350498","https://openalex.org/W2002368650","https://openalex.org/W2003322225","https://openalex.org/W2011523679","https://openalex.org/W2016086965","https://openalex.org/W2052107565","https://openalex.org/W2059591309","https://openalex.org/W2064853889","https://openalex.org/W2068283474","https://openalex.org/W2079310233","https://openalex.org/W2103270740","https://openalex.org/W2109518982","https://openalex.org/W2109722477","https://openalex.org/W2128476487","https://openalex.org/W2128964655","https://openalex.org/W2131718405","https://openalex.org/W2131975293","https://openalex.org/W2135074661","https://openalex.org/W2140460921","https://openalex.org/W2142090314","https://openalex.org/W2145611520","https://openalex.org/W2149706766","https://openalex.org/W2157355837","https://openalex.org/W2173213060","https://openalex.org/W2189465200","https://openalex.org/W2198098822","https://openalex.org/W2342457036","https://openalex.org/W2345891197","https://openalex.org/W2414667196","https://openalex.org/W2432436793","https://openalex.org/W2468392024","https://openalex.org/W2481003398","https://openalex.org/W2497439958","https://openalex.org/W2506439635","https://openalex.org/W2517331489","https://openalex.org/W2542194815","https://openalex.org/W2553500715","https://openalex.org/W2565966100","https://openalex.org/W2566979091","https://openalex.org/W2576683119","https://openalex.org/W2588941434","https://openalex.org/W2592314679","https://openalex.org/W2606568264","https://openalex.org/W2622388297","https://openalex.org/W2734283703","https://openalex.org/W2735540554","https://openalex.org/W2749408386","https://openalex.org/W2750427532","https://openalex.org/W2750481789","https://openalex.org/W2756790431","https://openalex.org/W2765090334","https://openalex.org/W2766332108","https://openalex.org/W2767493667","https://openalex.org/W2783596173","https://openalex.org/W2790282462","https://openalex.org/W2803537702","https://openalex.org/W2891503716","https://openalex.org/W2904005914","https://openalex.org/W2907509110","https://openalex.org/W2909962776","https://openalex.org/W2920591936","https://openalex.org/W2923475469","https://openalex.org/W2948646149","https://openalex.org/W2952008461","https://openalex.org/W2963288913","https://openalex.org/W2964248614","https://openalex.org/W2971046819","https://openalex.org/W3100595347","https://openalex.org/W4241692252","https://openalex.org/W6631096410","https://openalex.org/W6828718204"],"related_works":["https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991","https://openalex.org/W4308507533","https://openalex.org/W2407107767","https://openalex.org/W2901787049","https://openalex.org/W2792181990","https://openalex.org/W2517841089"],"abstract_inverted_index":{"Abstract":[0],"Nowadays,":[1],"a":[2,20,84,139],"huge":[3],"amount":[4],"of":[5,22,86,131,146,166,191,201],"data":[6,87,151],"are":[7,49,136],"generated,":[8],"often":[9],"in":[10,16,46,80,199],"very":[11],"short":[12],"time":[13],"intervals":[14],"and":[15,30,38,63,89,125,149,152,188,203],"various":[17],"formats,":[18],"by":[19,51,108],"number":[21,85],"different":[23],"heterogeneous":[24],"sources":[25],"such":[26,57,113,121],"as":[27,43,58,114,122],"social":[28],"networks":[29],"media,":[31],"mobile":[32],"devices,":[33],"internet":[34],"transactions,":[35],"networked":[36],"devices":[37],"sensors.":[39],"These":[40,102],"data,":[41],"identified":[42],"Big":[44,100,132,179],"Data":[45],"the":[47,52,70,81,129,167],"literature,":[48],"characterized":[50],"popular":[53],"V":[54],"s":[55],"features,":[56],"Value,":[59],"Veracity,":[60],"Variety,":[61],"Velocity":[62],"Volume.":[64],"In":[65,128,159,181],"particular,":[66,182],"Value":[67],"focuses":[68],"on":[69,116],"useful":[71],"knowledge":[72,98],"that":[73],"may":[74],"be":[75,157],"mined":[76],"from":[77,99],"data.":[78],"Thus,":[79],"last":[82],"years,":[83],"mining":[88],"machine":[90],"learning":[91,171,193],"algorithms":[92,103,172],"have":[93,104],"been":[94,105],"proposed":[95],"to":[96,143,156],"extract":[97],"Data.":[101,180],"generally":[106],"implemented":[107],"using":[109],"ad-hoc":[110],"programming":[111],"paradigms,":[112],"MapReduce,":[115],"specific":[117],"distributed":[118,170],"computing":[119],"frameworks,":[120],"Apache":[123,126],"Hadoop":[124],"Spark.":[127],"context":[130],"Data,":[133],"fuzzy":[134,175],"models":[135,177],"currently":[137],"playing":[138],"significant":[140],"role,":[141],"thanks":[142],"their":[144,153,209],"capability":[145],"handling":[147],"vague":[148],"imprecise":[150],"innate":[154],"characteristic":[155],"interpretable.":[158],"this":[160],"work,":[161],"we":[162,183,196,206],"give":[163],"an":[164],"overview":[165],"most":[168],"recent":[169],"for":[173,178],"generating":[174],"classification":[176],"first":[184],"show":[185],"some":[186],"design":[187],"implementation":[189],"details":[190],"these":[192],"algorithms.":[194],"Thereafter,":[195],"compare":[197],"them":[198],"terms":[200],"accuracy":[202],"interpretability.":[204],"Finally,":[205],"argue":[207],"about":[208],"scalability.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2020-04-03T00:00:00"}