{"id":"https://openalex.org/W4403920829","doi":"https://doi.org/10.1186/s40537-024-01028-y","title":"Quality assurance strategies for machine learning applications in big data analytics: an overview","display_name":"Quality assurance strategies for machine learning applications in big data analytics: an overview","publication_year":2024,"publication_date":"2024-10-30","ids":{"openalex":"https://openalex.org/W4403920829","doi":"https://doi.org/10.1186/s40537-024-01028-y"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-024-01028-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-01028-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-01028-y","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/counter/pdf/10.1186/s40537-024-01028-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038806469","display_name":"Mihajlo Ogrizovi\u0107","orcid":"https://orcid.org/0000-0002-4250-3760"},"institutions":[{"id":"https://openalex.org/I4068193","display_name":"University of Belgrade","ror":"https://ror.org/02qsmb048","country_code":"RS","type":"education","lineage":["https://openalex.org/I4068193"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Mihajlo Ogrizovi\u0107","raw_affiliation_strings":["School of Electrical Engineering, Department of Computer Science and Information Technology, University of Belgrade, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Department of Computer Science and Information Technology, University of Belgrade, Belgrade, Serbia","institution_ids":["https://openalex.org/I4068193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069565059","display_name":"Dra\u017een Dra\u0161kovi\u0107","orcid":"https://orcid.org/0000-0003-2564-4526"},"institutions":[{"id":"https://openalex.org/I4068193","display_name":"University of Belgrade","ror":"https://ror.org/02qsmb048","country_code":"RS","type":"education","lineage":["https://openalex.org/I4068193"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Dra\u017een Dra\u0161kovi\u0107","raw_affiliation_strings":["School of Electrical Engineering, Department of Computer Science and Information Technology, University of Belgrade, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Department of Computer Science and Information Technology, University of Belgrade, Belgrade, Serbia","institution_ids":["https://openalex.org/I4068193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052139493","display_name":"Dragan Boji\u0107","orcid":"https://orcid.org/0009-0001-3025-5886"},"institutions":[{"id":"https://openalex.org/I4068193","display_name":"University of Belgrade","ror":"https://ror.org/02qsmb048","country_code":"RS","type":"education","lineage":["https://openalex.org/I4068193"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Dragan Boji\u0107","raw_affiliation_strings":["School of Electrical Engineering, Department of Computer Science and Information Technology, University of Belgrade, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Department of Computer Science and Information Technology, University of Belgrade, Belgrade, Serbia","institution_ids":["https://openalex.org/I4068193"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038806469"],"corresponding_institution_ids":["https://openalex.org/I4068193"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":9.4807,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.98375707,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"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":0.9948999881744385,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9939000010490417,"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":0.8159497976303101},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7147738933563232},{"id":"https://openalex.org/keywords/quality-assurance","display_name":"Quality assurance","score":0.6052388548851013},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5982645153999329},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5646426677703857},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.46089333295822144},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4456522762775421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32991647720336914},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26912203431129456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8159497976303101},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7147738933563232},{"id":"https://openalex.org/C106436119","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assurance","level":3,"score":0.6052388548851013},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5982645153999329},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5646426677703857},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.46089333295822144},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4456522762775421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32991647720336914},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26912203431129456},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-024-01028-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-01028-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-01028-y","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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:b258232a1f0b4d9d82938c0b613025bb","is_oa":true,"landing_page_url":"https://doaj.org/article/b258232a1f0b4d9d82938c0b613025bb","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 11, Iss 1, Pp 1-48 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-024-01028-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-01028-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-01028-y","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/G1730006546","display_name":null,"funder_award_id":"11113","funder_id":"https://openalex.org/F4320329307","funder_display_name":"Science Fund of the Republic of Serbia"},{"id":"https://openalex.org/G3057051536","display_name":null,"funder_award_id":"451-03-65/2024-03/200103","funder_id":"https://openalex.org/F4320329307","funder_display_name":"Science Fund of the Republic of Serbia"}],"funders":[{"id":"https://openalex.org/F4320329307","display_name":"Science Fund of the Republic of Serbia","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403920829.pdf"},"referenced_works_count":124,"referenced_works":["https://openalex.org/W50121580","https://openalex.org/W187049233","https://openalex.org/W1586062842","https://openalex.org/W1720739885","https://openalex.org/W1869358490","https://openalex.org/W2012061263","https://openalex.org/W2013120098","https://openalex.org/W2050966111","https://openalex.org/W2074702228","https://openalex.org/W2077365830","https://openalex.org/W2087419855","https://openalex.org/W2092161214","https://openalex.org/W2101105183","https://openalex.org/W2104513562","https://openalex.org/W2106268244","https://openalex.org/W2110228583","https://openalex.org/W2118023920","https://openalex.org/W2187877229","https://openalex.org/W2495688777","https://openalex.org/W2507337578","https://openalex.org/W2545300838","https://openalex.org/W2569214105","https://openalex.org/W2583978878","https://openalex.org/W2585196369","https://openalex.org/W2616028256","https://openalex.org/W2619070928","https://openalex.org/W2730550703","https://openalex.org/W2730651664","https://openalex.org/W2735863559","https://openalex.org/W2752257759","https://openalex.org/W2752517284","https://openalex.org/W2782864149","https://openalex.org/W2799640043","https://openalex.org/W2809878087","https://openalex.org/W2811124048","https://openalex.org/W2859484040","https://openalex.org/W2884508227","https://openalex.org/W2885222086","https://openalex.org/W2886153332","https://openalex.org/W2888307014","https://openalex.org/W2888824816","https://openalex.org/W2889526258","https://openalex.org/W2891895942","https://openalex.org/W2896526986","https://openalex.org/W2897043844","https://openalex.org/W2937793871","https://openalex.org/W2954629067","https://openalex.org/W2954903132","https://openalex.org/W2955455382","https://openalex.org/W2963040191","https://openalex.org/W2963231286","https://openalex.org/W2963308851","https://openalex.org/W2963327228","https://openalex.org/W2963542100","https://openalex.org/W2963857521","https://openalex.org/W2964288451","https://openalex.org/W2966501701","https://openalex.org/W2967287319","https://openalex.org/W2971518682","https://openalex.org/W2981984641","https://openalex.org/W2989888127","https://openalex.org/W3000280594","https://openalex.org/W3004493192","https://openalex.org/W3007157104","https://openalex.org/W3014590323","https://openalex.org/W3019130148","https://openalex.org/W3035901421","https://openalex.org/W3080999680","https://openalex.org/W3087720408","https://openalex.org/W3090352232","https://openalex.org/W3090752740","https://openalex.org/W3091407209","https://openalex.org/W3093882889","https://openalex.org/W3101228803","https://openalex.org/W3101294892","https://openalex.org/W3102372369","https://openalex.org/W3106724961","https://openalex.org/W3111294584","https://openalex.org/W3119467012","https://openalex.org/W3120515101","https://openalex.org/W3121105970","https://openalex.org/W3124944493","https://openalex.org/W3134317408","https://openalex.org/W3140743785","https://openalex.org/W3158362201","https://openalex.org/W3158459113","https://openalex.org/W3159579291","https://openalex.org/W3163960008","https://openalex.org/W3166351462","https://openalex.org/W3176022264","https://openalex.org/W3200909539","https://openalex.org/W3210405706","https://openalex.org/W3210610489","https://openalex.org/W3210853658","https://openalex.org/W3213622522","https://openalex.org/W4200153829","https://openalex.org/W4206109463","https://openalex.org/W4207064822","https://openalex.org/W4210862833","https://openalex.org/W4225495469","https://openalex.org/W4281996971","https://openalex.org/W4283809784","https://openalex.org/W4288388602","https://openalex.org/W4288610071","https://openalex.org/W4294845625","https://openalex.org/W4297373189","https://openalex.org/W4311953761","https://openalex.org/W4312565067","https://openalex.org/W4312833928","https://openalex.org/W4313555307","https://openalex.org/W4316126954","https://openalex.org/W4321351836","https://openalex.org/W4366549236","https://openalex.org/W4380769213","https://openalex.org/W4381277467","https://openalex.org/W4385453637","https://openalex.org/W4386693657","https://openalex.org/W4387377782","https://openalex.org/W4387618732","https://openalex.org/W4392645489","https://openalex.org/W4392983253","https://openalex.org/W4394739600","https://openalex.org/W4401110728","https://openalex.org/W4403790107"],"related_works":["https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W4245701730","https://openalex.org/W2511794504","https://openalex.org/W2911648135","https://openalex.org/W3092201768","https://openalex.org/W2886451445","https://openalex.org/W3108449883","https://openalex.org/W2551093110","https://openalex.org/W2796632413"],"abstract_inverted_index":{"Machine":[0],"learning":[1,40,109,150,153],"(ML)":[2],"models":[3,128],"have":[4,140],"gained":[5],"significant":[6],"attention":[7],"in":[8,63,148,215,226],"a":[9,30,59,64,95,158,160,188,198],"variety":[10],"of":[11,33,164,184,195,202,211,218,229],"applications,":[12],"from":[13],"computer":[14],"vision":[15],"to":[16,61,73,83,124,129,145,168],"natural":[17],"language":[18],"processing,":[19],"and":[20,35,42,52,86,103,110,118,133,143,151,213,220,231],"are":[21,29,187],"almost":[22],"always":[23],"based":[24],"on":[25],"big":[26,221],"data.":[27],"There":[28],"growing":[31],"number":[32],"applications":[34],"products":[36],"with":[37,224],"built-in":[38],"machine":[39,149],"models,":[41],"this":[43,185],"is":[44],"the":[45,78,169,193,196,216,227],"area":[46],"where":[47],"software":[48,137],"engineering,":[49],"artificial":[50],"intelligence":[51],"data":[53,222],"science":[54],"meet.":[55],"The":[56,181],"requirement":[57],"for":[58,75],"system":[60],"operate":[62],"real-world":[65],"environment":[66],"poses":[67],"many":[68],"challenges,":[69],"such":[70],"as":[71,172,174],"how":[72],"design":[74],"wrong":[76],"predictions":[77],"model":[79],"may":[80],"make;":[81],"How":[82,99],"assure":[84],"safety":[85],"security":[87],"despite":[88],"possible":[89,177],"mistakes;":[90],"which":[91],"qualities":[92],"matter":[93],"beyond":[94],"model\u2019s":[96],"prediction":[97],"accuracy;":[98],"can":[100],"we":[101],"identify":[102],"measure":[104],"important":[105],"quality":[106],"requirements,":[107],"including":[108],"inference":[111],"latency,":[112],"scalability,":[113],"explainability,":[114],"fairness,":[115],"privacy,":[116],"robustness,":[117],"safety.":[119],"It":[120],"has":[121],"become":[122],"crucial":[123],"test":[125],"thoroughly":[126],"these":[127],"assess":[130],"their":[131],"capabilities":[132],"potential":[134],"errors.":[135],"Existing":[136],"testing":[138],"methods":[139],"been":[141],"adapted":[142],"refined":[144],"discover":[146],"faults":[147],"deep":[152],"models.":[154],"This":[155],"paper":[156,186],"covers":[157],"taxonomy,":[159],"methodologically":[161],"uniform":[162],"presentation":[163],"all":[165],"presented":[166],"solutions":[167],"aforementioned":[170],"issues,":[171],"well":[173],"conclusions":[175],"about":[176],"future":[178],"development":[179],"trends.":[180],"main":[182],"contributions":[183],"classification":[189],"that":[190,207],"closely":[191],"follows":[192],"structure":[194],"ML-pipeline,":[197],"precisely":[199],"defined":[200],"role":[201],"each":[203],"team":[204],"member":[205],"within":[206],"pipeline,":[208],"an":[209],"overview":[210],"trends":[212],"challenges":[214],"combination":[217],"ML":[219],"analytics,":[223],"uses":[225],"domains":[228],"industry":[230],"education.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}