{"id":"https://openalex.org/W2901473657","doi":"https://doi.org/10.1109/tem.2018.2876321","title":"Predicting Completion Risk in PPP Projects Using Big Data Analytics","display_name":"Predicting Completion Risk in PPP Projects Using Big Data Analytics","publication_year":2018,"publication_date":"2018-11-21","ids":{"openalex":"https://openalex.org/W2901473657","doi":"https://doi.org/10.1109/tem.2018.2876321","mag":"2901473657"},"language":"en","primary_location":{"id":"doi:10.1109/tem.2018.2876321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tem.2018.2876321","pdf_url":null,"source":{"id":"https://openalex.org/S154533451","display_name":"IEEE Transactions on Engineering Management","issn_l":"0018-9391","issn":["0018-9391","1558-0040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Engineering Management","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.coventry.ac.uk/ws/files/21676936/Binder1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000013368","display_name":"Hakeem A. Owolabi","orcid":"https://orcid.org/0000-0002-3126-061X"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]},{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]},{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hakeem A. Owolabi","raw_affiliation_strings":["Big Data Analytics Laboratory, Bristol Business School, University of West of the England, Bristol, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3126-061X","affiliations":[{"raw_affiliation_string":"Big Data Analytics Laboratory, Bristol Business School, University of West of the England, Bristol, U.K","institution_ids":["https://openalex.org/I178535277","https://openalex.org/I4210161128","https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101940975","display_name":"Muhammad Bilal","orcid":"https://orcid.org/0000-0001-8446-7123"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]},{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]},{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Muhammad Bilal","raw_affiliation_strings":["Big Data Analytics Laboratory, Bristol Business School, University of West of the England, Bristol, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Big Data Analytics Laboratory, Bristol Business School, University of West of the England, Bristol, U.K","institution_ids":["https://openalex.org/I178535277","https://openalex.org/I4210161128","https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062319500","display_name":"Lukumon O. Oyedele","orcid":"https://orcid.org/0000-0002-3411-372X"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]},{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]},{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lukumon O. Oyedele","raw_affiliation_strings":["Big Data Analytics Laboratory, Bristol Business School, University of West of the England, Bristol, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3411-372X","affiliations":[{"raw_affiliation_string":"Big Data Analytics Laboratory, Bristol Business School, University of West of the England, Bristol, U.K","institution_ids":["https://openalex.org/I178535277","https://openalex.org/I4210161128","https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072085766","display_name":"Hafiz Alaka","orcid":"https://orcid.org/0000-0003-3863-1046"},"institutions":[{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hafiz A. Alaka","raw_affiliation_strings":["Faculty of Engineering, Environment and Computing, Coventry University, Coventry, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Environment and Computing, Coventry University, Coventry, U.K","institution_ids":["https://openalex.org/I73417466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008789061","display_name":"Saheed Ajayi","orcid":null},"institutions":[{"id":"https://openalex.org/I84027002","display_name":"Leeds Beckett University","ror":"https://ror.org/02xsh5r57","country_code":"GB","type":"education","lineage":["https://openalex.org/I84027002"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Saheed O. Ajayi","raw_affiliation_strings":["School of Built Environment and Engineering, Leeds Beckett University, Leeds, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Built Environment and Engineering, Leeds Beckett University, Leeds, U.K","institution_ids":["https://openalex.org/I84027002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057468710","display_name":"Ol\u00fagb\u00e9nga O. Akinad\u00e9","orcid":"https://orcid.org/0000-0003-3950-3775"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]},{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]},{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Olugbenga O. Akinade","raw_affiliation_strings":["Big Data Analytics Laboratory, Bristol Business School, University of West of the England, Bristol, U.K"],"raw_orcid":"https://orcid.org/0000-0003-3950-3775","affiliations":[{"raw_affiliation_string":"Big Data Analytics Laboratory, Bristol Business School, University of West of the England, Bristol, U.K","institution_ids":["https://openalex.org/I178535277","https://openalex.org/I4210161128","https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000013368"],"corresponding_institution_ids":["https://openalex.org/I178535277","https://openalex.org/I36234482","https://openalex.org/I4210161128"],"apc_list":null,"apc_paid":null,"fwci":6.0473,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.95823505,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"67","issue":"2","first_page":"430","last_page":"453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11939","display_name":"Public-Private Partnership Projects","score":0.9998999834060669,"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":0.9998999834060669,"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/T10395","display_name":"Construction Project Management and Performance","score":0.9926000237464905,"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/T12779","display_name":"Public Procurement and Policy","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6879150867462158},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6207915544509888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5856041312217712},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5533940196037292},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.5518088936805725},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5028616786003113},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4919874370098114},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.479166179895401},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.45277151465415955},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43459275364875793},{"id":"https://openalex.org/keywords/risk-management","display_name":"Risk management","score":0.42530566453933716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41134801506996155},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4028148651123047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3254740834236145},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16902539134025574},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.07872551679611206},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.07311153411865234}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6879150867462158},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6207915544509888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5856041312217712},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5533940196037292},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.5518088936805725},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5028616786003113},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4919874370098114},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.479166179895401},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.45277151465415955},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43459275364875793},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.42530566453933716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41134801506996155},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4028148651123047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3254740834236145},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16902539134025574},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.07872551679611206},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.07311153411865234},{"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:10.1109/tem.2018.2876321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tem.2018.2876321","pdf_url":null,"source":{"id":"https://openalex.org/S154533451","display_name":"IEEE Transactions on Engineering Management","issn_l":"0018-9391","issn":["0018-9391","1558-0040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Engineering Management","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/3b3b25cf-442c-4b02-9e25-4de520d56221","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/predicting-completion-risk-in-ppp-projects-using-big-data-analytics(3b3b25cf-442c-4b02-9e25-4de520d56221).html","pdf_url":"https://pure.coventry.ac.uk/ws/files/21676936/Binder1.pdf","source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"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":"Owolabi, H O, Bilal, M, Oyedele, L O, Alaka, H, Ajayi, S O & Akinade, O O 2020, 'Predicting Completion Risk in PPP Projects using Big Data Analytics', IEEE Transactions on Engineering Management, vol. 67, no. 2, 8542956, pp. 430-453. https://doi.org/10.1109/TEM.2018.2876321","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:eprints.uwe.ac.uk:38737","is_oa":true,"landing_page_url":"http://eprints.uwe.ac.uk/38737/7/IEEE%20Accepted%20Version%20-%20Predicting%20Completion%20Risk.docx","pdf_url":null,"source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"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":"","raw_type":"Article"},{"id":"pmh:oai:pure.atira.dk:openaire/3b3b25cf-442c-4b02-9e25-4de520d56221","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/3b3b25cf-442c-4b02-9e25-4de520d56221","pdf_url":null,"source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"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":"Owolabi, H O, Bilal, M, Oyedele, L O, Alaka, H, Ajayi, S O & Akinade, O O 2020, 'Predicting Completion Risk in PPP Projects using Big Data Analytics', IEEE Transactions on Engineering Management, vol. 67, no. 2, 8542956, pp. 430-453. https://doi.org/10.1109/TEM.2018.2876321","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/3b3b25cf-442c-4b02-9e25-4de520d56221","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/predicting-completion-risk-in-ppp-projects-using-big-data-analytics(3b3b25cf-442c-4b02-9e25-4de520d56221).html","pdf_url":"https://pure.coventry.ac.uk/ws/files/21676936/Binder1.pdf","source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"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":"Owolabi, H O, Bilal, M, Oyedele, L O, Alaka, H, Ajayi, S O & Akinade, O O 2020, 'Predicting Completion Risk in PPP Projects using Big Data Analytics', IEEE Transactions on Engineering Management, vol. 67, no. 2, 8542956, pp. 430-453. https://doi.org/10.1109/TEM.2018.2876321","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2901473657.pdf","grobid_xml":"https://content.openalex.org/works/W2901473657.grobid-xml"},"referenced_works_count":120,"referenced_works":["https://openalex.org/W9288028","https://openalex.org/W183763627","https://openalex.org/W273955616","https://openalex.org/W585709381","https://openalex.org/W594392887","https://openalex.org/W613026850","https://openalex.org/W659310153","https://openalex.org/W1500693574","https://openalex.org/W1578978568","https://openalex.org/W1587890875","https://openalex.org/W1599540671","https://openalex.org/W1965084916","https://openalex.org/W1965717527","https://openalex.org/W1966703140","https://openalex.org/W1967182682","https://openalex.org/W1968424563","https://openalex.org/W1969411312","https://openalex.org/W1971045677","https://openalex.org/W1977963692","https://openalex.org/W1979748245","https://openalex.org/W1984290783","https://openalex.org/W1985194522","https://openalex.org/W1988195734","https://openalex.org/W1988288307","https://openalex.org/W1989678580","https://openalex.org/W1996031526","https://openalex.org/W1998372019","https://openalex.org/W2004838563","https://openalex.org/W2005071274","https://openalex.org/W2005141901","https://openalex.org/W2012174067","https://openalex.org/W2021459020","https://openalex.org/W2022926672","https://openalex.org/W2023419456","https://openalex.org/W2023566665","https://openalex.org/W2026180204","https://openalex.org/W2028813983","https://openalex.org/W2038627180","https://openalex.org/W2039887324","https://openalex.org/W2040263621","https://openalex.org/W2040865812","https://openalex.org/W2044335696","https://openalex.org/W2051880309","https://openalex.org/W2054827727","https://openalex.org/W2056052206","https://openalex.org/W2058224795","https://openalex.org/W2059434605","https://openalex.org/W2061057284","https://openalex.org/W2068201696","https://openalex.org/W2072241896","https://openalex.org/W2075560996","https://openalex.org/W2076256957","https://openalex.org/W2077133432","https://openalex.org/W2077900460","https://openalex.org/W2079388035","https://openalex.org/W2080545497","https://openalex.org/W2081394753","https://openalex.org/W2082839002","https://openalex.org/W2083674894","https://openalex.org/W2086168829","https://openalex.org/W2088516600","https://openalex.org/W2091886411","https://openalex.org/W2092066568","https://openalex.org/W2092395186","https://openalex.org/W2094527006","https://openalex.org/W2100261260","https://openalex.org/W2106589440","https://openalex.org/W2109066379","https://openalex.org/W2119712247","https://openalex.org/W2120076141","https://openalex.org/W2120197519","https://openalex.org/W2120707074","https://openalex.org/W2121411181","https://openalex.org/W2122755080","https://openalex.org/W2127081806","https://openalex.org/W2128223365","https://openalex.org/W2128653958","https://openalex.org/W2131715540","https://openalex.org/W2132424470","https://openalex.org/W2135046866","https://openalex.org/W2136276067","https://openalex.org/W2142518420","https://openalex.org/W2147347517","https://openalex.org/W2153029610","https://openalex.org/W2155576734","https://openalex.org/W2155632266","https://openalex.org/W2157559091","https://openalex.org/W2157954477","https://openalex.org/W2159128227","https://openalex.org/W2161542243","https://openalex.org/W2169969573","https://openalex.org/W2180847832","https://openalex.org/W2182011491","https://openalex.org/W2238499080","https://openalex.org/W2238723005","https://openalex.org/W2256871449","https://openalex.org/W2257979135","https://openalex.org/W2276325972","https://openalex.org/W2285369212","https://openalex.org/W2319419397","https://openalex.org/W2333505325","https://openalex.org/W2400829371","https://openalex.org/W2472333518","https://openalex.org/W2490033382","https://openalex.org/W2506143226","https://openalex.org/W2598396137","https://openalex.org/W2605933545","https://openalex.org/W2613703610","https://openalex.org/W2621975971","https://openalex.org/W2905257391","https://openalex.org/W3103665423","https://openalex.org/W3103757879","https://openalex.org/W3122574529","https://openalex.org/W3124550551","https://openalex.org/W4233976382","https://openalex.org/W4252719892","https://openalex.org/W4293171766","https://openalex.org/W6607414224","https://openalex.org/W6610017368","https://openalex.org/W6692072748"],"related_works":["https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4313289487","https://openalex.org/W4321636153","https://openalex.org/W3191198889","https://openalex.org/W3081905205","https://openalex.org/W4205686051","https://openalex.org/W3108868229","https://openalex.org/W2802491896"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1],"of":[2,35,45,92],"potential":[3],"delays":[4,134],"in":[5,22,39,59,135,161],"public":[6],"private":[7],"partnerships":[8],"(PPP)":[9],"projects":[10],"could":[11],"provide":[12],"valuable":[13],"information":[14],"relevant":[15,50],"for":[16,29,51,72,114,132],"planning":[17],"and":[18,88,98,110,119,156],"mitigating":[19],"completion":[20,31,73,115],"risk":[21,32,40,74,116],"future":[23],"PPP":[24,60,80,136],"projects.":[25],"However,":[26],"existing":[27],"techniques":[28],"evaluating":[30],"remain":[33],"incapable":[34],"identifying":[36],"hidden":[37],"patterns":[38],"behavior":[41],"within":[42],"large":[43],"samples":[44,82],"projects,":[46,61,137],"which":[47],"are":[48,158],"increasingly":[49],"accurate":[52],"prediction.":[53,75,117],"To":[54],"effectively":[55],"tackle":[56],"this":[57,62,122],"problem":[58],"study":[63,123],"proposes":[64],"a":[65,90],"Big":[66],"Data":[67],"Analytics":[68],"predictive":[69,93],"modeling":[70],"technique":[71,131],"With":[76],"data":[77],"from":[78,121],"4294":[79],"project":[81],"delivered":[83],"across":[84],"Europe":[85],"between":[86],"1992":[87],"2015,":[89],"series":[91],"models":[94],"have":[95],"been":[96],"devised":[97],"evaluated":[99],"using":[100],"linear":[101],"regression,":[102],"regression":[103,147],"trees,":[104],"random":[105,126],"forest,":[106],"support":[107],"vector":[108],"machine,":[109],"deep":[111],"neural":[112],"network":[113],"Results":[118],"findings":[120],"reveal":[124],"that":[125],"forest":[127],"is":[128],"an":[129],"effective":[130],"predicting":[133,142],"with":[138],"lower":[139],"average":[140],"test":[141],"error":[143],"than":[144],"other":[145],"legacy":[146],"techniques.":[148],"Research":[149],"issues":[150],"relating":[151],"to":[152],"model":[153],"selection,":[154],"training,":[155],"validation":[157],"also":[159],"presented":[160],"the":[162],"study.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}