{"id":"https://openalex.org/W4386078192","doi":"https://doi.org/10.1109/access.2023.3307512","title":"CTELC: A Constant-Time Ensemble Learning Classifier Based on KNN for Big Data","display_name":"CTELC: A Constant-Time Ensemble Learning Classifier Based on KNN for Big Data","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386078192","doi":"https://doi.org/10.1109/access.2023.3307512"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3307512","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3307512","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10225740.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10225740.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108121027","display_name":"Ahmad S. Tarawneh","orcid":null},"institutions":[{"id":"https://openalex.org/I21173400","display_name":"Mutah University","ror":"https://ror.org/008g9ns82","country_code":"JO","type":"education","lineage":["https://openalex.org/I21173400"]},{"id":"https://openalex.org/I36622005","display_name":"Petra University","ror":"https://ror.org/039d9es10","country_code":"JO","type":"education","lineage":["https://openalex.org/I36622005"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Ahmad S. Tarawneh","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, University of Petra, Amman, Jordan","Faculty of Information Technology, Mutah University, Karak, Jordan","Department of Data Science and Artificial Intelligence, University of Perta, Amman, Jordan"],"raw_orcid":"https://orcid.org/0000-0002-9991-304X","affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, University of Petra, Amman, Jordan","institution_ids":["https://openalex.org/I36622005"]},{"raw_affiliation_string":"Faculty of Information Technology, Mutah University, Karak, Jordan","institution_ids":["https://openalex.org/I21173400"]},{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, University of Perta, Amman, Jordan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016432707","display_name":"Eman Alamri","orcid":"https://orcid.org/0000-0001-5113-0495"},"institutions":[{"id":"https://openalex.org/I72264486","display_name":"University of Tabuk","ror":"https://ror.org/04yej8x59","country_code":"SA","type":"education","lineage":["https://openalex.org/I72264486"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Eman S. Alamri","raw_affiliation_strings":["Food Science and Nutrition Department, University of Tabuk, Tabuk, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Food Science and Nutrition Department, University of Tabuk, Tabuk, Saudi Arabia","institution_ids":["https://openalex.org/I72264486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092676624","display_name":"Najah Noori Al-Saedi","orcid":null},"institutions":[{"id":"https://openalex.org/I21173400","display_name":"Mutah University","ror":"https://ror.org/008g9ns82","country_code":"JO","type":"education","lineage":["https://openalex.org/I21173400"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Najah Noori Al-Saedi","raw_affiliation_strings":["Faculty of Information Technology, Mutah University, Kerak, Jordan","Faculty of Information Technology, Mutah University, Karak, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Mutah University, Kerak, Jordan","institution_ids":["https://openalex.org/I21173400"]},{"raw_affiliation_string":"Faculty of Information Technology, Mutah University, Karak, Jordan","institution_ids":["https://openalex.org/I21173400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051819567","display_name":"Mohammad Alauthman","orcid":"https://orcid.org/0000-0003-0319-1968"},"institutions":[{"id":"https://openalex.org/I114972647","display_name":"University of Jordan","ror":"https://ror.org/05k89ew48","country_code":"JO","type":"education","lineage":["https://openalex.org/I114972647"]},{"id":"https://openalex.org/I36622005","display_name":"Petra University","ror":"https://ror.org/039d9es10","country_code":"JO","type":"education","lineage":["https://openalex.org/I36622005"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mohammad Alauthman","raw_affiliation_strings":["Department of Information Security, University of Petra, Amman, Jordan","Department of Information Security, University of Perta, Amman, Jordan"],"raw_orcid":"https://orcid.org/0000-0003-0319-1968","affiliations":[{"raw_affiliation_string":"Department of Information Security, University of Petra, Amman, Jordan","institution_ids":["https://openalex.org/I36622005"]},{"raw_affiliation_string":"Department of Information Security, University of Perta, Amman, Jordan","institution_ids":["https://openalex.org/I114972647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032563975","display_name":"Ahmad B. Hassanat","orcid":"https://orcid.org/0000-0002-9991-304X"},"institutions":[{"id":"https://openalex.org/I21173400","display_name":"Mutah University","ror":"https://ror.org/008g9ns82","country_code":"JO","type":"education","lineage":["https://openalex.org/I21173400"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Ahmad B. Hassanat","raw_affiliation_strings":["Faculty of Information Technology, Mutah University, Kerak, Jordan","Faculty of Information Technology, Mutah University, Karak, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Mutah University, Kerak, Jordan","institution_ids":["https://openalex.org/I21173400"]},{"raw_affiliation_string":"Faculty of Information Technology, Mutah University, Karak, Jordan","institution_ids":["https://openalex.org/I21173400"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.2954,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92004646,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"89791","last_page":"89802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9933000206947327,"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":0.9894000291824341,"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":0.8353139162063599},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7189984321594238},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6870317459106445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5913262367248535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4766541123390198},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4672762155532837},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.4295772910118103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3742813467979431}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8353139162063599},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7189984321594238},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6870317459106445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5913262367248535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4766541123390198},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4672762155532837},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.4295772910118103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3742813467979431}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3307512","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3307512","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10225740.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:87765db293d14dc684e195a22295b604","is_oa":true,"landing_page_url":"https://doaj.org/article/87765db293d14dc684e195a22295b604","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":"IEEE Access, Vol 11, Pp 89791-89802 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3307512","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3307512","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10225740.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386078192.pdf","grobid_xml":"https://content.openalex.org/works/W4386078192.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W59413458","https://openalex.org/W120094446","https://openalex.org/W1480151146","https://openalex.org/W1581797854","https://openalex.org/W2104464993","https://openalex.org/W2109583894","https://openalex.org/W2125621954","https://openalex.org/W2165558283","https://openalex.org/W2432436793","https://openalex.org/W2581151820","https://openalex.org/W2592340788","https://openalex.org/W2613173840","https://openalex.org/W2727488328","https://openalex.org/W2747128909","https://openalex.org/W2747637521","https://openalex.org/W2789468576","https://openalex.org/W2801372095","https://openalex.org/W2803396742","https://openalex.org/W2889313982","https://openalex.org/W2890011953","https://openalex.org/W2896791469","https://openalex.org/W2898051438","https://openalex.org/W2898095739","https://openalex.org/W2900993889","https://openalex.org/W2901922404","https://openalex.org/W2902740467","https://openalex.org/W2903449363","https://openalex.org/W2910886069","https://openalex.org/W2911964244","https://openalex.org/W2912032477","https://openalex.org/W2918087949","https://openalex.org/W2951696358","https://openalex.org/W2963730760","https://openalex.org/W2969398210","https://openalex.org/W2974588803","https://openalex.org/W2980154288","https://openalex.org/W2991407254","https://openalex.org/W2995450453","https://openalex.org/W3008249145","https://openalex.org/W3024743437","https://openalex.org/W3026857941","https://openalex.org/W3034758785","https://openalex.org/W3039164994","https://openalex.org/W3041906494","https://openalex.org/W3094843711","https://openalex.org/W3098996042","https://openalex.org/W3102697733","https://openalex.org/W3109457141","https://openalex.org/W3113480634","https://openalex.org/W3119156884","https://openalex.org/W3126307881","https://openalex.org/W3127024393","https://openalex.org/W3128363171","https://openalex.org/W3137676098","https://openalex.org/W3147637749","https://openalex.org/W3160385040","https://openalex.org/W3165526157","https://openalex.org/W3168320027","https://openalex.org/W3168524505","https://openalex.org/W3183417470","https://openalex.org/W3184050568","https://openalex.org/W3194694505","https://openalex.org/W3199131930","https://openalex.org/W3201065774","https://openalex.org/W4200116821","https://openalex.org/W4200275407","https://openalex.org/W4205924007","https://openalex.org/W4206583062","https://openalex.org/W4225634031","https://openalex.org/W4242320705","https://openalex.org/W4294560305","https://openalex.org/W4315837307","https://openalex.org/W6603413705","https://openalex.org/W6730504598","https://openalex.org/W6737496325","https://openalex.org/W6793118509"],"related_works":["https://openalex.org/W3014300295","https://openalex.org/W2563096758","https://openalex.org/W4386053843","https://openalex.org/W3158004940","https://openalex.org/W2972035100","https://openalex.org/W2167582322","https://openalex.org/W2742991909","https://openalex.org/W2556319748","https://openalex.org/W2886126675","https://openalex.org/W4327781369"],"abstract_inverted_index":{"Big":[0,207,211],"data":[1,43,74,81,111,201],"classification":[2,10,44,70,115,131,147],"is":[3,107,125],"a":[4,13,17,25,40,64,86,96,145,166,177],"challenging":[5],"task":[6,26],"because":[7],"most":[8],"known":[9],"methods":[11],"need":[12],"long":[14],"time":[15,152],"and":[16,27,54,120,186,210],"lot":[18],"of":[19,32,50,57,68,95,99,137,173,180,183],"processing":[20],"resources":[21],"to":[22,62,113,127,150,161],"execute":[23],"such":[24,203],"use":[28],"the":[29,48,51,55,58,121,129,135,138,151,156,189],"vast":[30],"amount":[31],"available":[33],"data.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"novel":[41],"big":[42,73,87],"method":[45,66,78,143,158,191],"that":[46],"leverages":[47],"power":[49],"KNN":[52,105],"classifier":[53,106,197],"efficiency":[56],"ensemble":[59],"learning":[60],"technique":[61],"create":[63],"new":[65,117],"capable":[67],"performing":[69],"tasks":[71],"on":[72,109,116,134,165,176],"efficiently.":[75],"The":[76,141],"proposed":[77,142,157,190],"picks":[79],"tiny":[80],"chunks":[82],"at":[83],"random":[84,93],"from":[85],"dataset,":[88],"with":[89],"each":[90,110],"chunk":[91,112],"including":[92],"examples":[94],"small":[97],"number":[98],"randomly":[100],"selected":[101],"features.":[102],"A":[103],"weak":[104,139],"employed":[108],"perform":[114],"(unseen)":[118],"data,":[119,206,209],"majority":[122],"voting":[123],"rule":[124],"used":[126],"reach":[128],"final":[130],"decision":[132],"based":[133],"outcomes":[136],"classifiers.":[140],"has":[144],"constant":[146],"time,":[148],"according":[149],"complexity":[153],"analysis.":[154],"Furthermore,":[155],"was":[159],"found":[160],"be":[162,193],"more":[163],"efficient":[164],"single":[167],"node":[168],"than":[169],"existing":[170],"methods,":[171],"some":[172],"which":[174],"run":[175],"large":[178],"cluster":[179],"nodes.":[181],"Because":[182],"its":[184],"speed":[185],"enhanced":[187],"performance,":[188],"can":[192],"considered":[194],"an":[195],"ideal":[196],"for":[198],"handling":[199],"complex":[200],"types":[202],"as":[204],"Geospatial":[205],"trajectory":[208],"Data":[212],"in":[213],"general.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
