{"id":"https://openalex.org/W4225166752","doi":"https://doi.org/10.1186/s40537-022-00612-4","title":"Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data","display_name":"Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data","publication_year":2022,"publication_date":"2022-04-29","ids":{"openalex":"https://openalex.org/W4225166752","doi":"https://doi.org/10.1186/s40537-022-00612-4"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-022-00612-4","doi":"https://doi.org/10.1186/s40537-022-00612-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00612-4","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-022-00612-4","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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-022-00612-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074290191","display_name":"Moncef Garouani","orcid":"https://orcid.org/0000-0003-2528-441X","observed_orcids":["https://orcid.org/0000-0003-2528-441X"]},"institutions":[{"id":"https://openalex.org/I3131550300","display_name":"Universit\u00e9 Toulouse-I-Capitole","ror":"https://ror.org/0443n9e75","country_code":"FR","type":"education","lineage":["https://openalex.org/I3131550300","https://openalex.org/I4405259414"]},{"id":"https://openalex.org/I4210119061","display_name":"Institut de Recherche en Informatique de Toulouse","ror":"https://ror.org/01rx4qw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I205747304","https://openalex.org/I4210119061","https://openalex.org/I4210152422","https://openalex.org/I4405258862","https://openalex.org/I4405259414"]},{"id":"https://openalex.org/I4387154658","display_name":"Laboratoire d\u2019Informatique Signal et Image de la C\u00f4te d\u2019Opale","ror":"https://ror.org/00tm1qp20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2802487185","https://openalex.org/I4387154658"]},{"id":"https://openalex.org/I4405259414","display_name":"Universit\u00e9 Toulouse Capitole","ror":"https://ror.org/027ankh97","country_code":"FR","type":"education","lineage":["https://openalex.org/I4405259414"]},{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["FR","MA"],"is_corresponding":true,"raw_author_name":"Moncef Garouani","raw_affiliation_strings":["CCPS Laboratory, ENSAM, University of Hassan II, Casablanca, Morocco","Study and Research Center for Engineering and Management (CERIM), HESTIM, Casablanca, Morocco","UR 4491, LISIC, Laboratoire d\u2019Informatique Signal et Image de la Cote d\u2019Opale, Univ. Littoral C\u00f4te d\u2019Opale, 62100, Calais, France","IRIT - Institut de recherche en informatique de Toulouse (118 Route de Narbonne, F-31062 Toulouse Cedex 9 - France)","IRIT-SIG - Syst\u00e8mes d\u2019Informations G\u00e9n\u00e9ralis\u00e9es (IRIT\r\n118 Route de Narbonne\r\n31062 Toulouse Cedex 9 - France)","LISIC - Laboratoire d'Informatique Signal et Image de la C\u00f4te d'Opale (Maison de la Recherche Blaise Pascal 50, rue Ferdinand Buisson BP 719 62228 Calais Cedex - France)","UT Capitole - Universit\u00e9 Toulouse Capitole (2 rue du Doyen-Gabriel-Marty - 31042 Toulouse Cedex 9 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CCPS Laboratory, ENSAM, University of Hassan II, Casablanca, Morocco","institution_ids":["https://openalex.org/I99297268"]},{"raw_affiliation_string":"Study and Research Center for Engineering and Management (CERIM), HESTIM, Casablanca, Morocco","institution_ids":[]},{"raw_affiliation_string":"UR 4491, LISIC, Laboratoire d\u2019Informatique Signal et Image de la Cote d\u2019Opale, Univ. Littoral C\u00f4te d\u2019Opale, 62100, Calais, France","institution_ids":["https://openalex.org/I4387154658"]},{"raw_affiliation_string":"IRIT - Institut de recherche en informatique de Toulouse (118 Route de Narbonne, F-31062 Toulouse Cedex 9 - France)","institution_ids":["https://openalex.org/I4210119061"]},{"raw_affiliation_string":"IRIT-SIG - Syst\u00e8mes d\u2019Informations G\u00e9n\u00e9ralis\u00e9es (IRIT\r\n118 Route de Narbonne\r\n31062 Toulouse Cedex 9 - France)","institution_ids":["https://openalex.org/I4210119061"]},{"raw_affiliation_string":"LISIC - Laboratoire d'Informatique Signal et Image de la C\u00f4te d'Opale (Maison de la Recherche Blaise Pascal 50, rue Ferdinand Buisson BP 719 62228 Calais Cedex - France)","institution_ids":["https://openalex.org/I4387154658"]},{"raw_affiliation_string":"UT Capitole - Universit\u00e9 Toulouse Capitole (2 rue du Doyen-Gabriel-Marty - 31042 Toulouse Cedex 9 - France)","institution_ids":["https://openalex.org/I3131550300","https://openalex.org/I4405259414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025658455","display_name":"Adeel Ahmad","orcid":"https://orcid.org/0000-0003-0132-3808","observed_orcids":["https://orcid.org/0000-0003-0132-3808"]},"institutions":[{"id":"https://openalex.org/I4387154658","display_name":"Laboratoire d\u2019Informatique Signal et Image de la C\u00f4te d\u2019Opale","ror":"https://ror.org/00tm1qp20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2802487185","https://openalex.org/I4387154658"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adeel Ahmad","raw_affiliation_strings":["UR 4491, LISIC, Laboratoire d\u2019Informatique Signal et Image de la Cote d\u2019Opale, Univ. Littoral C\u00f4te d\u2019Opale, 62100, Calais, France","LISIC - Laboratoire d'Informatique Signal et Image de la C\u00f4te d'Opale (Maison de la Recherche Blaise Pascal 50, rue Ferdinand Buisson BP 719 62228 Calais Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UR 4491, LISIC, Laboratoire d\u2019Informatique Signal et Image de la Cote d\u2019Opale, Univ. Littoral C\u00f4te d\u2019Opale, 62100, Calais, France","institution_ids":["https://openalex.org/I4387154658"]},{"raw_affiliation_string":"LISIC - Laboratoire d'Informatique Signal et Image de la C\u00f4te d'Opale (Maison de la Recherche Blaise Pascal 50, rue Ferdinand Buisson BP 719 62228 Calais Cedex - France)","institution_ids":["https://openalex.org/I4387154658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072238079","display_name":"Mourad Bouneffa","orcid":"https://orcid.org/0000-0003-2505-1149","observed_orcids":["https://orcid.org/0000-0003-2505-1149"]},"institutions":[{"id":"https://openalex.org/I4387154658","display_name":"Laboratoire d\u2019Informatique Signal et Image de la C\u00f4te d\u2019Opale","ror":"https://ror.org/00tm1qp20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2802487185","https://openalex.org/I4387154658"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mourad Bouneffa","raw_affiliation_strings":["UR 4491, LISIC, Laboratoire d\u2019Informatique Signal et Image de la Cote d\u2019Opale, Univ. Littoral C\u00f4te d\u2019Opale, 62100, Calais, France","LISIC - Laboratoire d'Informatique Signal et Image de la C\u00f4te d'Opale (Maison de la Recherche Blaise Pascal 50, rue Ferdinand Buisson BP 719 62228 Calais Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UR 4491, LISIC, Laboratoire d\u2019Informatique Signal et Image de la Cote d\u2019Opale, Univ. Littoral C\u00f4te d\u2019Opale, 62100, Calais, France","institution_ids":["https://openalex.org/I4387154658"]},{"raw_affiliation_string":"LISIC - Laboratoire d'Informatique Signal et Image de la C\u00f4te d'Opale (Maison de la Recherche Blaise Pascal 50, rue Ferdinand Buisson BP 719 62228 Calais Cedex - France)","institution_ids":["https://openalex.org/I4387154658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001483656","display_name":"Mohamed Hamlich","orcid":"https://orcid.org/0000-0002-7512-4329","observed_orcids":["https://orcid.org/0000-0002-7512-4329"]},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohamed Hamlich","raw_affiliation_strings":["CCPS Laboratory, ENSAM, University of Hassan II, Casablanca, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CCPS Laboratory, ENSAM, University of Hassan II, Casablanca, Morocco","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015514927","display_name":"Gr\u00e9gory Bourguin","orcid":"https://orcid.org/0000-0002-7399-075X","observed_orcids":["https://orcid.org/0000-0002-7399-075X"]},"institutions":[{"id":"https://openalex.org/I4387154658","display_name":"Laboratoire d\u2019Informatique Signal et Image de la C\u00f4te d\u2019Opale","ror":"https://ror.org/00tm1qp20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2802487185","https://openalex.org/I4387154658"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gregory Bourguin","raw_affiliation_strings":["UR 4491, LISIC, Laboratoire d\u2019Informatique Signal et Image de la Cote d\u2019Opale, Univ. Littoral C\u00f4te d\u2019Opale, 62100, Calais, France","LISIC - Laboratoire d'Informatique Signal et Image de la C\u00f4te d'Opale (Maison de la Recherche Blaise Pascal 50, rue Ferdinand Buisson BP 719 62228 Calais Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UR 4491, LISIC, Laboratoire d\u2019Informatique Signal et Image de la Cote d\u2019Opale, Univ. Littoral C\u00f4te d\u2019Opale, 62100, Calais, France","institution_ids":["https://openalex.org/I4387154658"]},{"raw_affiliation_string":"LISIC - Laboratoire d'Informatique Signal et Image de la C\u00f4te d'Opale (Maison de la Recherche Blaise Pascal 50, rue Ferdinand Buisson BP 719 62228 Calais Cedex - France)","institution_ids":["https://openalex.org/I4387154658"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004299240","display_name":"Arnaud Lewandowski","orcid":"https://orcid.org/0000-0001-6507-5212","observed_orcids":["https://orcid.org/0000-0001-6507-5212"]},"institutions":[{"id":"https://openalex.org/I4387154658","display_name":"Laboratoire d\u2019Informatique Signal et Image de la C\u00f4te d\u2019Opale","ror":"https://ror.org/00tm1qp20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2802487185","https://openalex.org/I4387154658"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arnaud Lewandowski","raw_affiliation_strings":["UR 4491, LISIC, Laboratoire d\u2019Informatique Signal et Image de la Cote d\u2019Opale, Univ. Littoral C\u00f4te d\u2019Opale, 62100, Calais, France","LISIC - Laboratoire d'Informatique Signal et Image de la C\u00f4te d'Opale (Maison de la Recherche Blaise Pascal 50, rue Ferdinand Buisson BP 719 62228 Calais Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UR 4491, LISIC, Laboratoire d\u2019Informatique Signal et Image de la Cote d\u2019Opale, Univ. Littoral C\u00f4te d\u2019Opale, 62100, Calais, France","institution_ids":["https://openalex.org/I4387154658"]},{"raw_affiliation_string":"LISIC - Laboratoire d'Informatique Signal et Image de la C\u00f4te d'Opale (Maison de la Recherche Blaise Pascal 50, rue Ferdinand Buisson BP 719 62228 Calais Cedex - France)","institution_ids":["https://openalex.org/I4387154658"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074290191"],"corresponding_institution_ids":["https://openalex.org/I3131550300","https://openalex.org/I4210119061","https://openalex.org/I4387154658","https://openalex.org/I4405259414","https://openalex.org/I99297268"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1445,"currency":"EUR","value_usd":1558},"fwci":2.9211,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.92572636,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"9","issue":"1","first_page":"20","last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9765999913215637,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9765999913215637,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.0010999999940395355,"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/meta-learning","display_name":"meta-learning","score":0.9470000267028809},{"id":"https://openalex.org/keywords/automated-machine-learning","display_name":"automated machine learning","score":0.9919999837875366},{"id":"https://openalex.org/keywords/algorithm-selection","display_name":"algorithm selection","score":0.921999990940094},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.7519999742507935},{"id":"https://openalex.org/keywords/industrial-big-data","display_name":"industrial big data","score":0.9580000042915344},{"id":"https://openalex.org/keywords/manufacturing-data-analytics","display_name":"production data analysis","score":0.6679999828338623},{"id":"https://openalex.org/keywords/computational-complexity","display_name":"computational complexity","score":0.718999981880188},{"id":"https://openalex.org/keywords/predictive-modeling","display_name":"predictive modeling","score":0.6499999761581421},{"id":"https://openalex.org/keywords/non-expert-users","display_name":"non-expert users","score":0.5899999737739563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8139719367027283},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6012986302375793},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5559108853340149},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5268427729606628},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.4781521260738373},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4595121443271637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4471304416656494},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4452058672904968},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.44285932183265686},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4264795184135437},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.42516231536865234},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40167200565338135},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3405267596244812},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2806090712547302},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1186/s40537-022-00612-4","doi":"https://doi.org/10.1186/s40537-022-00612-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00612-4","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-022-00612-4","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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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:HAL:hal-03655423v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-03655423","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, 2022, 9 (57), pp.20. ⟨10.1186/s40537-022-00612-4⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:baf05cc1c68949049ec48a693eb87a2e","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/baf05cc1c68949049ec48a693eb87a2e","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 9, Iss 1, Pp 1-20 (2022)","raw_type":"article"},{"id":"doi:10.60692/ab1qq-bk641","doi":"https://doi.org/10.60692/ab1qq-bk641","is_oa":true,"landing_page_url":"https://doi.org/10.60692/ab1qq-bk641","pdf_url":null,"source":{"id":"https://openalex.org/S7407051682","display_name":"Greater South Information System","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.60692/m4czj-98r05","doi":"https://doi.org/10.60692/m4czj-98r05","is_oa":true,"landing_page_url":"https://doi.org/10.60692/m4czj-98r05","pdf_url":null,"source":{"id":"https://openalex.org/S7407051682","display_name":"Greater South Information System","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1186/s40537-022-00612-4","doi":"https://doi.org/10.1186/s40537-022-00612-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00612-4","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-022-00612-4","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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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":[{"score":0.6773999929428101,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316705","display_name":"Universit\u00e9 du Littoral C\u00f4te d'Opale","ror":"https://ror.org/02gdcg342"},{"id":"https://openalex.org/F4320323771","display_name":"Centre National pour la Recherche Scientifique et Technique","ror":"https://ror.org/00675rp98"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225166752.pdf","grobid_xml":"https://content.openalex.org/works/W4225166752.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W638315772","https://openalex.org/W1988277750","https://openalex.org/W2069262928","https://openalex.org/W2090136295","https://openalex.org/W2116450703","https://openalex.org/W2151554678","https://openalex.org/W2309832917","https://openalex.org/W2464234006","https://openalex.org/W2608595939","https://openalex.org/W2620583477","https://openalex.org/W2623709829","https://openalex.org/W2743662531","https://openalex.org/W2775105020","https://openalex.org/W2783239537","https://openalex.org/W2805143279","https://openalex.org/W2810477621","https://openalex.org/W2891370463","https://openalex.org/W2897897876","https://openalex.org/W2899743487","https://openalex.org/W2911949292","https://openalex.org/W2915978573","https://openalex.org/W2919932305","https://openalex.org/W2945790622","https://openalex.org/W2947123069","https://openalex.org/W2950776701","https://openalex.org/W2950925508","https://openalex.org/W2953817258","https://openalex.org/W2963384497","https://openalex.org/W2980749699","https://openalex.org/W2991092620","https://openalex.org/W3000441679","https://openalex.org/W3044560395","https://openalex.org/W3048712648","https://openalex.org/W3097663992","https://openalex.org/W3102631786","https://openalex.org/W3108938622","https://openalex.org/W3127277566","https://openalex.org/W3133281668","https://openalex.org/W3133611487","https://openalex.org/W3174882898","https://openalex.org/W3210057840","https://openalex.org/W4200125053","https://openalex.org/W4200511930","https://openalex.org/W4206731198","https://openalex.org/W4213308398","https://openalex.org/W4225966510","https://openalex.org/W4234971943","https://openalex.org/W4242746447"],"related_works":["https://openalex.org/W4200511930","https://openalex.org/W3133611487","https://openalex.org/W4367724329","https://openalex.org/W3000276536","https://openalex.org/W4413210879","https://openalex.org/W2929271699","https://openalex.org/W4392401600","https://openalex.org/W4405977894","https://openalex.org/W6904095586","https://openalex.org/W3088739498"],"abstract_inverted_index":{"Abstract":[0],"Advanced":[1],"analytics":[2],"are":[3,249],"fundamental":[4],"to":[5,28,53,87,110,126,168,263,293,305,330],"transform":[6],"large":[7,64,327],"manufacturing":[8,49,72,83,102,296,328,335],"data":[9,67,120,163,207,329],"into":[10],"resourceful":[11],"knowledge":[12],"for":[13,82,150,286],"various":[14],"purposes.":[15],"In":[16,33,153,179],"its":[17,26],"very":[18,213],"nature,":[19],"such":[20,123,135,245],"\u201cindustrial":[21],"big":[22,272],"data\u201d":[23],"can":[24,47,131],"relay":[25],"usefulness":[27,325],"reach":[29],"further":[30],"utilitarian":[31],"applications.":[32],"this":[34,180,254],"context,":[35],"Machine":[36],"Learning":[37],"(ML)":[38],"is":[39,69,78,161,276],"among":[40],"the":[41,55,88,107,128,133,140,148,155,174,198,203,220,234,238,270,295,308,318,324,332,339],"major":[42,223],"predictive":[43,266,342],"modeling":[44],"approaches":[45,183,193,228,320],"that":[46,166,315],"enable":[48],"researchers":[50,299],"and":[51,58,98,172,189,241,298,321,337],"practitioners":[52],"improve":[54,338],"product":[56],"quality":[57],"achieve":[59],"resource":[60],"efficiency":[61],"by":[62,201],"exploiting":[63],"amounts":[65],"of":[66,91,142,157,225,326,341,345],"(which":[68],"collected":[70],"during":[71],"process).":[73],"However,":[74],"disposing":[75],"ML":[76,159,265,284],"algorithms":[77,95],"a":[79,162,258],"challenging":[80],"task":[81],"industrial":[84,103,271],"actors":[85,104],"due":[86],"prior":[89],"specification":[90],"one":[92],"or":[93,205],"more":[94],"hyperparameters":[96],"(HPs)":[97],"their":[99,217,347],"values.":[100],"Moreover,":[101],"often":[105],"lack":[106],"technical":[108],"expertise":[109],"apply":[111],"advanced":[112,309],"analytics.":[113,310],"Consequently,":[114],"it":[115],"necessitates":[116],"frequent":[117],"consultations":[118],"with":[119,278],"scientists;":[121],"but":[122,210],"collaborations":[124],"tends":[125],"cost":[127],"delays,":[129],"which":[130],"generate":[132],"risks":[134],"as":[136,246],"human-resource":[137],"bottlenecks.":[138],"As":[139],"complexity":[141,248],"these":[143,226],"tasks":[144],"increases,":[145],"so":[146],"does":[147],"demand":[149],"support":[151,294],"solutions.":[152],"response,":[154],"field":[156],"automated":[158],"(AutoML)":[160],"mining-based":[164],"formalism":[165],"aims":[167],"reduce":[169],"human":[170],"effort":[171],"speedup":[173],"development":[175,279],"cycle":[176],"through":[177],"automation.":[178],"regard,":[181],"existing":[182],"include":[184],"evolutionary":[185],"algorithms,":[186],"Bayesian":[187],"optimization,":[188],"reinforcement":[190],"learning.":[191],"These":[192],"mainly":[194],"focus":[195],"on":[196,219,233],"providing":[197],"user":[199],"assistance":[200],"automating":[202],"partial":[204],"entire":[206],"analysis":[208],"process,":[209],"they":[211],"provide":[212],"limited":[214],"details":[215],"concerning":[216],"impact":[218],"analysis.":[221],"The":[222,274,311],"goal":[224],"conventional":[227],"has":[229],"been":[230],"generally":[231],"focused":[232],"performance":[235],"factors,":[236],"while":[237],"other":[239],"important":[240],"even":[242],"crucial":[243],"aspects":[244],"computational":[247],"rather":[250],"omitted.":[251],"Therefore,":[252],"in":[253,334],"paper,":[255],"we":[256],"present":[257],"novel":[259],"meta-learning":[260],"based":[261],"approach":[262,275],"automate":[264],"models":[267,343],"built":[268],"over":[269],"data.":[273],"leveraged":[277],"of,":[280],"AMLBID,":[281],"an":[282],"Automated":[283],"tool":[285],"Big":[287],"Industrial":[288],"Data":[289],"analyses.":[290],"It":[291],"attempts":[292],"engineers":[297],"who":[300],"presumably":[301],"have":[302],"meager":[303],"skills":[304],"carry":[306],"out":[307],"empirical":[312],"results":[313],"show":[314],"AMLBID":[316],"surpasses":[317],"state-of-the-art":[319],"could":[322],"retrieve":[323],"prosper":[331],"research":[333],"domain":[336],"use":[340],"instead":[344],"precluding":[346],"outcomes.":[348]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":5}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-05-01T00:00:00"}