{"id":"https://openalex.org/W3163994191","doi":"https://doi.org/10.1186/s40537-021-00450-w","title":"Big data fuzzy C-means algorithm based on bee colony optimization using an Apache Hbase","display_name":"Big data fuzzy C-means algorithm based on bee colony optimization using an Apache Hbase","publication_year":2021,"publication_date":"2021-05-04","ids":{"openalex":"https://openalex.org/W3163994191","doi":"https://doi.org/10.1186/s40537-021-00450-w","mag":"3163994191"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-021-00450-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00450-w","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-021-00450-w","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/s40537-021-00450-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103582260","display_name":"Seyyed Mohammad Reza Modarres Razavi","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Seyyed Mohammad Razavi","raw_affiliation_strings":["Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072947224","display_name":"Mohsen Kahani","orcid":"https://orcid.org/0000-0002-2603-6066"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohsen Kahani","raw_affiliation_strings":["Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"],"raw_orcid":"https://orcid.org/0000-0002-2603-6066","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035305656","display_name":"Samad Paydar","orcid":"https://orcid.org/0000-0002-3370-2151"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Samad Paydar","raw_affiliation_strings":["Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072947224"],"corresponding_institution_ids":["https://openalex.org/I86958956"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":1.9586,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88516519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9929999709129333,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9929999709129333,"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":0.9768000245094299,"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"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.9649999737739563,"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":0.8770841956138611},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7815643548965454},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7600258588790894},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6172616481781006},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.527187705039978},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4899112582206726},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4621281325817108},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.42251208424568176},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.41359394788742065},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4097834825515747},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.3942815661430359},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20672568678855896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2040228247642517}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8770841956138611},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7815643548965454},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7600258588790894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6172616481781006},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.527187705039978},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4899112582206726},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4621281325817108},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42251208424568176},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.41359394788742065},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4097834825515747},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.3942815661430359},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20672568678855896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2040228247642517},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-021-00450-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00450-w","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-021-00450-w","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:doaj.org/article:5a050945eb3f4d8bb9bb29d0dc88a004","is_oa":true,"landing_page_url":"https://doaj.org/article/5a050945eb3f4d8bb9bb29d0dc88a004","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 8, Iss 1, Pp 1-22 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-021-00450-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00450-w","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-021-00450-w","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":[{"display_name":"Industry, innovation and infrastructure","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3163994191.pdf","grobid_xml":"https://content.openalex.org/works/W3163994191.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W79970639","https://openalex.org/W657581592","https://openalex.org/W1176637485","https://openalex.org/W1502782565","https://openalex.org/W1521624597","https://openalex.org/W1540089290","https://openalex.org/W1572352401","https://openalex.org/W1967838552","https://openalex.org/W1986143736","https://openalex.org/W1987111416","https://openalex.org/W1992181154","https://openalex.org/W1995450389","https://openalex.org/W1996118086","https://openalex.org/W1999077811","https://openalex.org/W2003690406","https://openalex.org/W2004951603","https://openalex.org/W2008286666","https://openalex.org/W2026001560","https://openalex.org/W2038585278","https://openalex.org/W2043803919","https://openalex.org/W2059834306","https://openalex.org/W2063597636","https://openalex.org/W2064128636","https://openalex.org/W2087294548","https://openalex.org/W2095897464","https://openalex.org/W2096984027","https://openalex.org/W2103185791","https://openalex.org/W2116762767","https://openalex.org/W2126626732","https://openalex.org/W2131687179","https://openalex.org/W2133482639","https://openalex.org/W2134529554","https://openalex.org/W2153192561","https://openalex.org/W2153635508","https://openalex.org/W2157355837","https://openalex.org/W2163856173","https://openalex.org/W2167428023","https://openalex.org/W2169446650","https://openalex.org/W2171121044","https://openalex.org/W2187643071","https://openalex.org/W2228974080","https://openalex.org/W2245962676","https://openalex.org/W2348957091","https://openalex.org/W2574134800","https://openalex.org/W2610514569","https://openalex.org/W2772832743","https://openalex.org/W2789511664","https://openalex.org/W2984716329","https://openalex.org/W3026384765","https://openalex.org/W3026777367","https://openalex.org/W3089005974","https://openalex.org/W4231029117","https://openalex.org/W4232875911","https://openalex.org/W4246396312","https://openalex.org/W4299823361"],"related_works":["https://openalex.org/W2117838073","https://openalex.org/W2892323093","https://openalex.org/W2361242132","https://openalex.org/W3071522575","https://openalex.org/W2353443653","https://openalex.org/W3140018618","https://openalex.org/W2374506950","https://openalex.org/W2556490192","https://openalex.org/W2596632494","https://openalex.org/W2143402976"],"abstract_inverted_index":{"Abstract":[0],"Clustering":[1],"algorithm":[2,63,68,102,119,134],"analysis,":[3,9],"including":[4],"time":[5,136],"and":[6,36,69,90,106],"space":[7],"complexity":[8,35],"has":[10,22,53,103],"always":[11],"been":[12,54],"discussed":[13],"in":[14,56],"the":[15,61,81,96,117,130],"literature.":[16],"The":[17,100,109],"emergence":[18],"of":[19,27,33,49,88,98,132],"big":[20,125,145],"data":[21,126,146],"also":[23],"created":[24],"a":[25,65],"lot":[26],"challenges":[28],"for":[29,45],"this":[30,57,78],"issue.":[31],"Because":[32],"high":[34,107],"execution":[37,135],"time,":[38],"traditional":[39],"clustering":[40,62,127,147],"techniques":[41],"cannot":[42],"be":[43],"used":[44],"such":[46],"an":[47],"amount":[48,97],"data.":[50,99],"This":[51],"problem":[52],"addressed":[55],"research.":[58],"To":[59],"present":[60],"using":[64],"bee":[66],"colony":[67],"high-speed":[70],"read/write":[71],"performance,":[72],"Map-Reduce":[73],"architecture":[74,79],"is":[75,92,120],"used.":[76],"Using":[77],"allows":[80],"proposed":[82],"method":[83],"to":[84,95],"cluster":[85],"any":[86],"volume":[87],"data,":[89],"there":[91],"no":[93],"limit":[94],"presented":[101,118],"good":[104],"performance":[105],"precision.":[108],"simulation":[110],"results":[111,131],"on":[112,137],"3":[113],"datasets":[114,139],"show":[115],"that":[116],"more":[121],"efficient":[122],"than":[123,143],"other":[124,144],"methods.":[128],"Also,":[129],"our":[133],"huge":[138],"are":[140],"much":[141],"better":[142],"approaches.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
