{"id":"https://openalex.org/W2932077722","doi":"https://doi.org/10.1007/s12599-019-00596-1","title":"Prognostic Model Development with Missing Labels","display_name":"Prognostic Model Development with Missing Labels","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2932077722","doi":"https://doi.org/10.1007/s12599-019-00596-1","mag":"2932077722"},"language":"en","primary_location":{"id":"doi:10.1007/s12599-019-00596-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12599-019-00596-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12599-019-00596-1.pdf","source":{"id":"https://openalex.org/S27339233","display_name":"Business & Information Systems Engineering","issn_l":"1867-0202","issn":["1867-0202","2363-7005"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Business &amp; Information Systems Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s12599-019-00596-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045400933","display_name":"Patrick Zschech","orcid":"https://orcid.org/0000-0002-1105-8086"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Patrick Zschech","raw_affiliation_strings":["Lehrstuhl f\u00fcr Wirtschaftsinformatik, Business Intelligence Research, TU Dresden, 01062, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Lehrstuhl f\u00fcr Wirtschaftsinformatik, Business Intelligence Research, TU Dresden, 01062, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073893595","display_name":"Kai Heinrich","orcid":"https://orcid.org/0000-0002-4907-6802"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kai Heinrich","raw_affiliation_strings":["Lehrstuhl f\u00fcr Wirtschaftsinformatik, Business Intelligence Research, TU Dresden, 01062, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Lehrstuhl f\u00fcr Wirtschaftsinformatik, Business Intelligence Research, TU Dresden, 01062, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003125736","display_name":"Raphael Bink","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159753","display_name":"Saint-Gobain (Germany)","ror":"https://ror.org/05txbz736","country_code":"DE","type":"company","lineage":["https://openalex.org/I123791789","https://openalex.org/I4210159753"]},{"id":"https://openalex.org/I4210162624","display_name":"Head Genuit Stiftung","ror":"https://ror.org/050v4jr11","country_code":"DE","type":"other","lineage":["https://openalex.org/I4210162624"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raphael Bink","raw_affiliation_strings":["Herzogenrath R&D Centre, Saint-Gobain, 52134, Herzogenrath, Germany"],"affiliations":[{"raw_affiliation_string":"Herzogenrath R&D Centre, Saint-Gobain, 52134, Herzogenrath, Germany","institution_ids":["https://openalex.org/I4210162624","https://openalex.org/I4210159753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059133053","display_name":"Janis S. Neufeld","orcid":"https://orcid.org/0000-0003-0753-0517"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Janis S. Neufeld","raw_affiliation_strings":["Lehrstuhl f\u00fcr BWL, Industrielles Management, TU Dresden, 01062, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Lehrstuhl f\u00fcr BWL, Industrielles Management, TU Dresden, 01062, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045400933"],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":null,"fwci":1.516,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.82544456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"61","issue":"3","first_page":"327","last_page":"343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9639999866485596,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/cluster-analysis","display_name":"Cluster analysis","score":0.7439784407615662},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5582190155982971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5473863482475281},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5443295240402222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5311675667762756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5142325758934021},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47012460231781006},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46703431010246277},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.45826205611228943},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4507203698158264},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.42641326785087585},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.35544538497924805}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7439784407615662},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5582190155982971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5473863482475281},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5443295240402222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5311675667762756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5142325758934021},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47012460231781006},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46703431010246277},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.45826205611228943},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4507203698158264},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.42641326785087585},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35544538497924805},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s12599-019-00596-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12599-019-00596-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12599-019-00596-1.pdf","source":{"id":"https://openalex.org/S27339233","display_name":"Business & Information Systems Engineering","issn_l":"1867-0202","issn":["1867-0202","2363-7005"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Business &amp; Information Systems Engineering","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:binfse:v:61:y:2019:i:3:d:10.1007_s12599-019-00596-1","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s12599-019-00596-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:qucosa:de:qucosa:72318","is_oa":true,"landing_page_url":"https://tud.qucosa.de/id/qucosa%3A72318","pdf_url":null,"source":{"id":"https://openalex.org/S4377196312","display_name":"Qucosa (Saxon State and University Library Dresden)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I3132420320","host_organization_name":"SLUB Dresden","host_organization_lineage":["https://openalex.org/I3132420320"],"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":null,"raw_type":"doc-type:Text"},{"id":"doi:10.13140/rg.2.2.20895.59044","is_oa":true,"landing_page_url":"https://doi.org/10.13140/rg.2.2.20895.59044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1007/s12599-019-00596-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12599-019-00596-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12599-019-00596-1.pdf","source":{"id":"https://openalex.org/S27339233","display_name":"Business & Information Systems Engineering","issn_l":"1867-0202","issn":["1867-0202","2363-7005"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Business &amp; Information Systems Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2932077722.pdf","grobid_xml":"https://content.openalex.org/works/W2932077722.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W129624237","https://openalex.org/W822801274","https://openalex.org/W1276866904","https://openalex.org/W1494137514","https://openalex.org/W1562916196","https://openalex.org/W1612491377","https://openalex.org/W1665200104","https://openalex.org/W1894414046","https://openalex.org/W1964136459","https://openalex.org/W1967702193","https://openalex.org/W1975994995","https://openalex.org/W1982275278","https://openalex.org/W1991704972","https://openalex.org/W1999393241","https://openalex.org/W2003484186","https://openalex.org/W2024123627","https://openalex.org/W2025387494","https://openalex.org/W2028470267","https://openalex.org/W2031939820","https://openalex.org/W2032279931","https://openalex.org/W2037325790","https://openalex.org/W2044309218","https://openalex.org/W2045186954","https://openalex.org/W2054594459","https://openalex.org/W2055873761","https://openalex.org/W2071909685","https://openalex.org/W2081568281","https://openalex.org/W2084341220","https://openalex.org/W2087850477","https://openalex.org/W2087864780","https://openalex.org/W2096734231","https://openalex.org/W2110787940","https://openalex.org/W2121117887","https://openalex.org/W2124280388","https://openalex.org/W2135945534","https://openalex.org/W2149298154","https://openalex.org/W2169409072","https://openalex.org/W2199810579","https://openalex.org/W2412781046","https://openalex.org/W2466930957","https://openalex.org/W2479531384","https://openalex.org/W2522010265","https://openalex.org/W2552339304","https://openalex.org/W2559197455","https://openalex.org/W2584915873","https://openalex.org/W2600283457","https://openalex.org/W2612166593","https://openalex.org/W2746326988","https://openalex.org/W2773811852","https://openalex.org/W2793498253","https://openalex.org/W2907223384","https://openalex.org/W3033830825","https://openalex.org/W3123613287","https://openalex.org/W3150796314","https://openalex.org/W4230644069"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W4285201053","https://openalex.org/W4256612600"],"abstract_inverted_index":{"Condition-based":[0],"maintenance":[1,15,28,58,156],"(CBM)":[2],"has":[3],"emerged":[4],"as":[5,105,107,158],"a":[6,20,23,30,52,64,108],"proactive":[7],"strategy":[8],"for":[9,14,55,91,101,112,161],"determining":[10],"the":[11,78,117,138,142,151,159,174,180],"best":[12],"time":[13,98],"activities.":[16],"In":[17],"this":[18,62],"paper,":[19],"case":[21,153],"of":[22,80,141,183],"milling":[24,143],"process":[25],"with":[26,43,133],"imperfect":[27],"at":[29],"German":[31],"automotive":[32],"manufacturer":[33],"is":[34,39,68,121],"considered.":[35],"Its":[36],"major":[37],"challenge":[38],"that":[40,71,126],"only":[41],"data":[42,65],"missing":[44],"labels":[45],"are":[46],"available,":[47],"which":[48],"does":[49],"not":[50],"provide":[51],"sufficient":[53],"basis":[54,160],"classical":[56],"prognostic":[57,113,165],"models.":[59],"To":[60],"overcome":[61],"shortcoming,":[63],"science":[66],"study":[67],"carried":[69],"out":[70],"combines":[72],"several":[73],"analytical":[74],"methods,":[75],"especially":[76],"from":[77],"field":[79],"machine":[81],"learning":[82],"(ML).":[83],"These":[84],"include":[85],"time-domain":[86],"and":[87,97,164,179],"time\u2013frequency":[88],"domain":[89],"techniques":[90],"feature":[92],"extraction,":[93],"agglomerative":[94],"hierarchical":[95],"clustering":[96,100],"series":[99],"unsupervised":[102],"pattern":[103],"detection,":[104],"well":[106],"recurrent":[109],"neural":[110],"network":[111],"model":[114,166],"training.":[115],"With":[116],"approach":[118],"developed,":[119],"it":[120,169],"possible":[122],"to":[123,136,154,171],"replace":[124],"decisions":[125,135],"were":[127],"made":[128],"based":[129],"on":[130],"subjective":[131],"criteria":[132],"data-driven":[134],"increase":[137],"tool":[139],"life":[140],"machines.":[144],"The":[145],"solution":[146],"can":[147],"be":[148],"employed":[149],"beyond":[150],"presented":[152],"similar":[155],"scenarios":[157],"decision":[162],"support":[163],"development.":[167],"Moreover,":[168],"helps":[170],"further":[172],"close":[173],"gap":[175],"between":[176],"ML":[177],"research":[178],"practical":[181],"implementation":[182],"CBM.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
