{"id":"https://openalex.org/W2016732136","doi":"https://doi.org/10.3846/13923730.2013.801919","title":"PREDICTING PROJECT SUCCESS IN CONSTRUCTION USING AN EVOLUTIONARY GAUSSIAN PROCESS INFERENCE MODEL","display_name":"PREDICTING PROJECT SUCCESS IN CONSTRUCTION USING AN EVOLUTIONARY GAUSSIAN PROCESS INFERENCE MODEL","publication_year":2014,"publication_date":"2014-01-09","ids":{"openalex":"https://openalex.org/W2016732136","doi":"https://doi.org/10.3846/13923730.2013.801919","mag":"2016732136"},"language":"en","primary_location":{"id":"doi:10.3846/13923730.2013.801919","doi":"https://doi.org/10.3846/13923730.2013.801919","is_oa":true,"landing_page_url":"https://doi.org/10.3846/13923730.2013.801919","pdf_url":"https://journals.vilniustech.lt/index.php/JCEM/article/download/3980/3386","source":{"id":"https://openalex.org/S61418348","display_name":"Journal of Civil Engineering and Management","issn_l":"1392-3730","issn":["1392-3730","1822-3605"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"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 Civil Engineering and Management","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.vilniustech.lt/index.php/JCEM/article/download/3980/3386","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103174860","display_name":"Min\u2010Yuan Cheng","orcid":"https://orcid.org/0000-0003-1312-4822","observed_orcids":["https://orcid.org/0000-0003-1312-4822"]},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Yuan Cheng","raw_affiliation_strings":["The National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072139782","display_name":"Chin-Chi Huang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chin-Chi Huang","raw_affiliation_strings":["The National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014879479","display_name":"Andreas Franskie Van Roy","orcid":"https://orcid.org/0000-0002-6646-4794","observed_orcids":["https://orcid.org/0000-0002-6646-4794"]},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Andreas Franskie Van Roy","raw_affiliation_strings":["The National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":{"value":480,"currency":"EUR","value_usd":517},"apc_paid":{"value":480,"currency":"EUR","value_usd":517},"fwci":1.1593,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.80857929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"19","issue":"Supplement_1","first_page":"S202","last_page":"S211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10395","display_name":"Construction Project Management and Performance","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10395","display_name":"Construction Project Management and Performance","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","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"}},{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/project-success-prediction","display_name":"project success prediction","score":0.8980000019073486},{"id":"https://openalex.org/keywords/construction-projects","display_name":"construction projects","score":0.9549999833106995},{"id":"https://openalex.org/keywords/evolutionary-optimization","display_name":"evolutionary optimization","score":0.546999990940094},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.9380000233650208},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9020000100135803},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.9789999723434448},{"id":"https://openalex.org/keywords/expert-knowledge-extraction","display_name":"expert knowledge extraction","score":0.800000011920929},{"id":"https://openalex.org/keywords/project-life-cycle","display_name":"project life cycle","score":0.47600001096725464},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.5720000267028809}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6749547719955444},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5923435091972351},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5688127875328064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5509060621261597},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.527039110660553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48923635482788086},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.47339928150177},{"id":"https://openalex.org/C15952604","wikidata":"https://www.wikidata.org/wiki/Q179012","display_name":"Project management","level":2,"score":0.4685415029525757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4463811218738556},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.36336976289749146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.340631902217865},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3027559518814087},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2896496653556824},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.24486082792282104},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.23862001299858093},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3846/13923730.2013.801919","doi":"https://doi.org/10.3846/13923730.2013.801919","is_oa":true,"landing_page_url":"https://doi.org/10.3846/13923730.2013.801919","pdf_url":"https://journals.vilniustech.lt/index.php/JCEM/article/download/3980/3386","source":{"id":"https://openalex.org/S61418348","display_name":"Journal of Civil Engineering and Management","issn_l":"1392-3730","issn":["1392-3730","1822-3605"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"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 Civil Engineering and Management","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:854b2c1308af4975841e2500ea94a589","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/854b2c1308af4975841e2500ea94a589","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":"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 Civil Engineering and Management, Vol 19, Iss 1 (2014)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3846/13923730.2013.801919","doi":"https://doi.org/10.3846/13923730.2013.801919","is_oa":true,"landing_page_url":"https://doi.org/10.3846/13923730.2013.801919","pdf_url":"https://journals.vilniustech.lt/index.php/JCEM/article/download/3980/3386","source":{"id":"https://openalex.org/S61418348","display_name":"Journal of Civil Engineering and Management","issn_l":"1392-3730","issn":["1392-3730","1822-3605"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"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 Civil Engineering and Management","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2016732136.pdf","grobid_xml":"https://content.openalex.org/works/W2016732136.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W144598575","https://openalex.org/W1543810117","https://openalex.org/W1969973837","https://openalex.org/W2002333907","https://openalex.org/W2013208264","https://openalex.org/W2016709607","https://openalex.org/W2049944637","https://openalex.org/W2056177963","https://openalex.org/W2066305946","https://openalex.org/W2066948410","https://openalex.org/W2068766238","https://openalex.org/W2073585262","https://openalex.org/W2092037816","https://openalex.org/W2119587361","https://openalex.org/W2125845509","https://openalex.org/W2127048215","https://openalex.org/W2127337119","https://openalex.org/W2142003564","https://openalex.org/W2142575165","https://openalex.org/W2143266849","https://openalex.org/W2162977544","https://openalex.org/W2169245194","https://openalex.org/W2314880724","https://openalex.org/W2383713254","https://openalex.org/W2543580944","https://openalex.org/W3121449926","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2042726948","https://openalex.org/W3029103763","https://openalex.org/W2073585262","https://openalex.org/W116103452","https://openalex.org/W2033193735","https://openalex.org/W2182862358","https://openalex.org/W4400153836","https://openalex.org/W1978346435","https://openalex.org/W1980699477","https://openalex.org/W4408230176"],"abstract_inverted_index":{"There":[0],"are":[1],"many":[2],"factors":[3,21,129],"that":[4,139],"affect":[5],"the":[6,9,25,29,39,48,56,96,133,155,169,176,188],"success":[7,141,177,189],"of":[8,12,17,19,28,42,50,58,135,158,178,190],"implementation":[10],"process":[11,102],"a":[13,43,51,81,136,150,179,191],"project.":[14,44,180],"The":[15,164],"importance":[16],"each":[18],"these":[20,172],"varies":[22],"according":[23],"to":[24,37,71,94,125,174],"different":[26],"phases":[27],"project":[30,52,137,192],"lifecycle,":[31],"which":[32,62,92,130],"makes":[33],"it":[34],"very":[35],"difficult":[36],"predict":[38,175],"final":[40],"result":[41,49],"In":[45],"practice,":[46],"foreseeing":[47],"is":[53,63],"based":[54,153],"on":[55,154],"judgment":[57],"those":[59],"in":[60,65,197],"management,":[61],"grounded":[64],"their":[66],"experience.":[67],"This":[68,181],"study":[69,111],"aimed":[70],"build":[72],"an":[73],"Evolutionary":[74],"Gaussian":[75,82,101],"Process":[76],"Inference":[77],"Model":[78],"(EGPIM),":[79],"using":[80,168],"process,":[83],"along":[84],"with":[85],"Bayesian":[86],"inference":[87],"and":[88,117,122,171,193],"particle":[89],"swarm":[90],"optimization,":[91],"helps":[93],"optimize":[95],"hyper-parameters":[97],"required":[98],"for":[99],"making":[100],"predictions.":[103],"With":[104],"this":[105,110],"model":[106,165,182],"at":[107,186],"its":[108,140],"core,":[109],"can":[112],"efficiently":[113],"extract":[114],"expert":[115],"knowledge":[116],"experience":[118],"from":[119],"case":[120],"studies":[121],"historical":[123],"data":[124],"determine":[126],"relationships":[127],"between":[128],"significantly":[131],"influence":[132],"outcome":[134],"so":[138],"may":[142],"be":[143],"predicted.":[144],"Historical":[145],"cases":[146,173],"were":[147],"ordered":[148],"as":[149],"time":[151],"series":[152],"Continuous":[156],"Assessment":[157],"Project":[159],"Performance":[160],"(CAPP)":[161],"research":[162],"results.":[163],"was":[166],"trained":[167],"EGPIM":[170],"proved":[183],"quite":[184],"accurate":[185],"predicting":[187],"had":[194],"outstanding":[195],"performance":[196],"time-series":[198],"applications.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}