{"id":"https://openalex.org/W2103278824","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000197","title":"Predicting Disputes in Public-Private Partnership Projects: Classification and Ensemble Models","display_name":"Predicting Disputes in Public-Private Partnership Projects: Classification and Ensemble Models","publication_year":2012,"publication_date":"2012-01-14","ids":{"openalex":"https://openalex.org/W2103278824","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000197","mag":"2103278824"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)cp.1943-5487.0000197","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000197","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043651248","display_name":"Jui\u2010Sheng Chou","orcid":"https://orcid.org/0000-0002-8372-9934"},"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":"Jui-Sheng Chou","raw_affiliation_strings":["Professor in Project Management, Dept. of Construction Engineering, National Taiwan Univ. of Science and Technology, 43, Sec. 4, Keelung Rd., Taipei, 106, Taiwan (corresponding author)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor in Project Management, Dept. of Construction Engineering, National Taiwan Univ. of Science and Technology, 43, Sec. 4, Keelung Rd., Taipei, 106, Taiwan (corresponding author)","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102074668","display_name":"Chieh Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132549","display_name":"Mental Health Commission","ror":"https://ror.org/03qcxsn76","country_code":"IE","type":"government","lineage":["https://openalex.org/I4210132549"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Chieh Lin","raw_affiliation_strings":["Senior Specialist, Dept. of Planning, Public Construction Commission, Executive Yuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Senior Specialist, Dept. of Planning, Public Construction Commission, Executive Yuan, Taiwan","institution_ids":["https://openalex.org/I4210132549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.6189,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.96578557,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"27","issue":"1","first_page":"51","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11939","display_name":"Public-Private Partnership Projects","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11939","display_name":"Public-Private Partnership Projects","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.975600004196167,"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/T10395","display_name":"Construction Project Management and Performance","score":0.9646999835968018,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.750113844871521},{"id":"https://openalex.org/keywords/general-partnership","display_name":"General partnership","score":0.705817461013794},{"id":"https://openalex.org/keywords/public\u2013private-partnership","display_name":"Public\u2013private partnership","score":0.5589752793312073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5569921731948853},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5226228833198547},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48184430599212646},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4560965299606323},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.444810152053833},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42844825983047485},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4214687943458557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3964957594871521},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.19332340359687805},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.11658036708831787}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.750113844871521},{"id":"https://openalex.org/C71750763","wikidata":"https://www.wikidata.org/wiki/Q646164","display_name":"General partnership","level":2,"score":0.705817461013794},{"id":"https://openalex.org/C2776553905","wikidata":"https://www.wikidata.org/wiki/Q221096","display_name":"Public\u2013private partnership","level":3,"score":0.5589752793312073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5569921731948853},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5226228833198547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48184430599212646},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4560965299606323},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.444810152053833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42844825983047485},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4214687943458557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3964957594871521},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.19332340359687805},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.11658036708831787},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/(asce)cp.1943-5487.0000197","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000197","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W94571269","https://openalex.org/W208128215","https://openalex.org/W1565377632","https://openalex.org/W1570448133","https://openalex.org/W1594031697","https://openalex.org/W1680392829","https://openalex.org/W1817561967","https://openalex.org/W1876275220","https://openalex.org/W1966602182","https://openalex.org/W1979540177","https://openalex.org/W1984857365","https://openalex.org/W1992856986","https://openalex.org/W1993865800","https://openalex.org/W1998647671","https://openalex.org/W1999787261","https://openalex.org/W2004879435","https://openalex.org/W2008686758","https://openalex.org/W2008762496","https://openalex.org/W2012917933","https://openalex.org/W2027083421","https://openalex.org/W2028811591","https://openalex.org/W2029458478","https://openalex.org/W2035128633","https://openalex.org/W2035504202","https://openalex.org/W2038209130","https://openalex.org/W2040403085","https://openalex.org/W2059536239","https://openalex.org/W2062634819","https://openalex.org/W2065339250","https://openalex.org/W2072962544","https://openalex.org/W2073817142","https://openalex.org/W2074306552","https://openalex.org/W2074669169","https://openalex.org/W2091606939","https://openalex.org/W2091621250","https://openalex.org/W2092091083","https://openalex.org/W2094360760","https://openalex.org/W2099539305","https://openalex.org/W2116570328","https://openalex.org/W2116825089","https://openalex.org/W2119304762","https://openalex.org/W2124776405","https://openalex.org/W2137634615","https://openalex.org/W2137768994","https://openalex.org/W2140190241","https://openalex.org/W2148603752","https://openalex.org/W2150630892","https://openalex.org/W2151203917","https://openalex.org/W2156224628","https://openalex.org/W2158698691","https://openalex.org/W2163361804","https://openalex.org/W2164686541","https://openalex.org/W2167849100","https://openalex.org/W2170059033","https://openalex.org/W2170505850","https://openalex.org/W2285257517","https://openalex.org/W2475785194","https://openalex.org/W2482589566","https://openalex.org/W2947690776","https://openalex.org/W3085162807","https://openalex.org/W4236371659","https://openalex.org/W6603851545"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W1807784185","https://openalex.org/W4390905871","https://openalex.org/W3202800081","https://openalex.org/W1909207154","https://openalex.org/W3124390867","https://openalex.org/W3101614107","https://openalex.org/W3204228978","https://openalex.org/W1514365828","https://openalex.org/W4390971112"],"abstract_inverted_index":{"Proactively":[0],"forecasting":[1],"disputes":[2,141,143],"in":[3,99,121],"the":[4,15,91,108],"initiation":[5],"phase":[6],"of":[7,20,52,101,112,118],"public-private":[8],"partnership":[9],"(PPP)":[10],"projects":[11,123],"can":[12],"considerably":[13],"reduce":[14],"effort,":[16],"time,":[17],"and":[18,43,50,110,134],"cost":[19],"managing":[21,139],"potential":[22,140],"claims.":[23],"This":[24,105],"comprehensive":[25],"study":[26,106],"compared":[27,78],"classification":[28,42,83],"models":[29],"for":[30,95,115,138],"PPP":[31,122],"project":[32],"dispute":[33,97,119],"problems.":[34],"Performance":[35],"comparisons":[36],"included":[37],"four":[38,41],"machine":[39],"learners,":[40],"regression":[44],"trees,":[45],"two":[46],"multivariate":[47],"statistical":[48],"techniques,":[49],"combinations":[51],"techniques":[53,114],"that":[54,66],"have":[55],"performed":[56],"best":[57,92],"according":[58],"to":[59,125],"a":[60],"historical":[61],"database.":[62],"Experimental":[63],"results":[64,131],"indicate":[65],"an":[67],"ensemble":[68],"technique":[69],"(i.e.,":[70],"SVMs+ANNs+C5.0)":[71],"provides":[72],"better":[73],"cross-fold":[74],"prediction":[75,117],"accuracy":[76],"(84.33%)":[77],"with":[79],"all":[80],"other":[81],"individual":[82],"models.":[84],"Notably,":[85],"SVM":[86],"(support":[87],"vector":[88],"machine)":[89],"is":[90],"single":[93],"model":[94],"classifying":[96],"propensity":[98,120],"terms":[100],"overall":[102],"performance":[103],"measures.":[104],"demonstrates":[107],"efficiency":[109],"effectiveness":[111],"data-mining":[113],"early":[116],"pertaining":[124],"public":[126],"infrastructure":[127],"services.":[128],"The":[129],"modeling":[130],"provide":[132],"proactive-warning":[133],"decision-support":[135],"information":[136],"needed":[137],"before":[142],"occur.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-07T14:30:12.667765","created_date":"2025-10-10T00:00:00"}