{"id":"https://openalex.org/W3040086193","doi":"https://doi.org/10.1080/0951192x.2020.1775302","title":"Contextual classification for smart machining based on unsupervised machine learning by Gaussian mixture model","display_name":"Contextual classification for smart machining based on unsupervised machine learning by Gaussian mixture model","publication_year":2020,"publication_date":"2020-07-02","ids":{"openalex":"https://openalex.org/W3040086193","doi":"https://doi.org/10.1080/0951192x.2020.1775302","mag":"3040086193"},"language":"en","primary_location":{"id":"doi:10.1080/0951192x.2020.1775302","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2020.1775302","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-02888452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100404712","display_name":"Zhiqiang Wang","orcid":"https://orcid.org/0000-0002-0002-5203"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Zhiqiang Wang","raw_affiliation_strings":["Laboratory of Digital Sciences of Nantes (LS2N, UMR CNRS 6004), University of Nantes, Nantes, France"],"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Sciences of Nantes (LS2N, UMR CNRS 6004), University of Nantes, Nantes, France","institution_ids":["https://openalex.org/I4210117005","https://openalex.org/I97188460","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007968509","display_name":"Mathieu Ritou","orcid":"https://orcid.org/0000-0002-0568-9383"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mathieu Ritou","raw_affiliation_strings":["Laboratory of Digital Sciences of Nantes (LS2N, UMR CNRS 6004), University of Nantes, Nantes, France"],"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Sciences of Nantes (LS2N, UMR CNRS 6004), University of Nantes, Nantes, France","institution_ids":["https://openalex.org/I4210117005","https://openalex.org/I97188460","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033342747","display_name":"Catherine da Cunha","orcid":"https://orcid.org/0000-0002-1330-8384"},"institutions":[{"id":"https://openalex.org/I100445878","display_name":"\u00c9cole Centrale de Nantes","ror":"https://ror.org/03nh7d505","country_code":"FR","type":"education","lineage":["https://openalex.org/I100445878","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Catherine Da Cunha","raw_affiliation_strings":["Laboratory of Digital Sciences of Nantes (LS2N, UMR CNRS 6004), Centrale Nantes, Nantes, France"],"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Sciences of Nantes (LS2N, UMR CNRS 6004), Centrale Nantes, Nantes, France","institution_ids":["https://openalex.org/I97188460","https://openalex.org/I100445878","https://openalex.org/I4210117005","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107352256","display_name":"Beno\u00eet Furet","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Beno\u00eet Furet","raw_affiliation_strings":["Laboratory of Digital Sciences of Nantes (LS2N, UMR CNRS 6004), University of Nantes, Nantes, France"],"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Sciences of Nantes (LS2N, UMR CNRS 6004), University of Nantes, Nantes, France","institution_ids":["https://openalex.org/I4210117005","https://openalex.org/I97188460","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007968509"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210117005","https://openalex.org/I97188460"],"apc_list":null,"apc_paid":null,"fwci":1.1071,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.74615119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"33","issue":"10-11","first_page":"1042","last_page":"1054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10188","display_name":"Advanced machining processes and optimization","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T13113","display_name":"Engineering Technology and Methodologies","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6872721910476685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6383296847343445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6327966451644897},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5629258155822754},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.5126640200614929},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.48635274171829224},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4846356511116028},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4722135663032532},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.45760536193847656},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4470495879650116},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4122385084629059},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34467625617980957},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2941296398639679},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1426135003566742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6872721910476685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6383296847343445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6327966451644897},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5629258155822754},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.5126640200614929},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.48635274171829224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4846356511116028},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4722135663032532},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.45760536193847656},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4470495879650116},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4122385084629059},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34467625617980957},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2941296398639679},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1426135003566742},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/0951192x.2020.1775302","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2020.1775302","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-02888452v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02888452","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"International Journal of Computer Integrated Manufacturing, 2020, 33 (10-11), pp.1042-1054. ⟨10.1080/0951192X.2020.1775302⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02888452v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02888452","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"International Journal of Computer Integrated Manufacturing, 2020, 33 (10-11), pp.1042-1054. ⟨10.1080/0951192X.2020.1775302⟩","raw_type":"Journal articles"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5}],"awards":[{"id":"https://openalex.org/G3505361062","display_name":null,"funder_award_id":"ANR-16-CE10-0005","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1601795611","https://openalex.org/W1680392829","https://openalex.org/W1963784435","https://openalex.org/W1966143620","https://openalex.org/W2000304567","https://openalex.org/W2016763624","https://openalex.org/W2036718387","https://openalex.org/W2056243712","https://openalex.org/W2056625397","https://openalex.org/W2149407554","https://openalex.org/W2168162876","https://openalex.org/W2168175751","https://openalex.org/W2280897658","https://openalex.org/W2469038994","https://openalex.org/W2542763271","https://openalex.org/W2751192781","https://openalex.org/W2791184423","https://openalex.org/W2791998773","https://openalex.org/W2793471602","https://openalex.org/W2805890365","https://openalex.org/W2888663528","https://openalex.org/W2913272944","https://openalex.org/W2939712564","https://openalex.org/W4254260317"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W2001760863","https://openalex.org/W2910555400"],"abstract_inverted_index":{"Intelligent":[0],"machine-tools":[1,90],"generate":[2],"a":[3,21],"large":[4],"amount":[5],"of":[6,28,40,49,66,126],"digital":[7],"data.":[8,30],"Data":[9],"mining":[10,23,97],"can":[11],"support":[12],"decision-making":[13],"for":[14,51],"operational":[15],"management.":[16],"The":[17,63],"first":[18],"step":[19],"in":[20,91],"data":[22,32,50,86,96],"approach":[24],"is":[25,68,82],"the":[26,71,76,92,103,124,127],"selection":[27],"relevant":[29],"Raw":[31],"must,":[33],"therefore,":[34],"be":[35],"classified":[36],"into":[37],"different":[38,89],"groups":[39],"contexts.":[41],"This":[42,80],"paper":[43],"proposes":[44],"an":[45],"original":[46],"contextual":[47,108,120],"classification":[48,109],"smart":[52],"machining":[53],"based":[54,74],"on":[55,75,84],"unsupervised":[56],"machine":[57],"learning":[58],"by":[59,70],"Gaussian":[60],"mixture":[61],"model.":[62],"optimal":[64],"number":[65],"classes":[67],"determined":[69],"silhouette":[72],"method":[73,81,105],"Bayesian":[77],"information":[78],"criterion.":[79],"validated":[83],"real":[85],"from":[87],"four":[88],"aerospace":[93],"industry.":[94],"Manual":[95],"and":[98],"k-fold":[99],"cross-validation":[100],"confirm":[101],"that":[102],"proposed":[104],"provides":[106],"good":[107],"results.":[110],"Then,":[111],"several":[112],"key":[113],"performance":[114],"indicators":[115],"are":[116],"calculated":[117],"using":[118],"this":[119],"classification.":[121],"They":[122],"show":[123],"relevancy":[125],"approach.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}