{"id":"https://openalex.org/W2958693364","doi":"https://doi.org/10.5334/dsj-2019-032","title":"An Automated Machine Learning Based Decision Support System to Predict Hotel Booking Cancellations","display_name":"An Automated Machine Learning Based Decision Support System to Predict Hotel Booking Cancellations","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2958693364","doi":"https://doi.org/10.5334/dsj-2019-032","mag":"2958693364"},"language":"en","primary_location":{"id":"doi:10.5334/dsj-2019-032","is_oa":true,"landing_page_url":"https://doi.org/10.5334/dsj-2019-032","pdf_url":"http://datascience.codata.org/articles/10.5334/dsj-2019-032/galley/863/download/","source":{"id":"https://openalex.org/S62969111","display_name":"Data Science Journal","issn_l":"1683-1470","issn":["1683-1470"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320511","host_organization_name":"Ubiquity Press","host_organization_lineage":["https://openalex.org/P4310320511"],"host_organization_lineage_names":["Ubiquity Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://datascience.codata.org/articles/10.5334/dsj-2019-032/galley/863/download/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043008759","display_name":"Nuno Ant\u00f3nio","orcid":"https://orcid.org/0000-0002-4801-2487"},"institutions":[{"id":"https://openalex.org/I110026055","display_name":"Iscte \u2013 Instituto Universit\u00e1rio de Lisboa","ror":"https://ror.org/014837179","country_code":"PT","type":"education","lineage":["https://openalex.org/I110026055"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Nuno Antonio","raw_affiliation_strings":["ISCTE-IUL, Instituto de Telecomunica\u00e7\u00f5es"],"affiliations":[{"raw_affiliation_string":"ISCTE-IUL, Instituto de Telecomunica\u00e7\u00f5es","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I110026055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011542917","display_name":"Ana de Almeida","orcid":"https://orcid.org/0000-0001-9519-4634"},"institutions":[{"id":"https://openalex.org/I110026055","display_name":"Iscte \u2013 Instituto Universit\u00e1rio de Lisboa","ror":"https://ror.org/014837179","country_code":"PT","type":"education","lineage":["https://openalex.org/I110026055"]},{"id":"https://openalex.org/I4210161069","display_name":"iStar","ror":"https://ror.org/05mt98789","country_code":"US","type":"other","lineage":["https://openalex.org/I4210161069"]}],"countries":["PT","US"],"is_corresponding":false,"raw_author_name":"Ana de Almeida","raw_affiliation_strings":["ISCTE-IUL, CISUC, ISTAR-IUL"],"affiliations":[{"raw_affiliation_string":"ISCTE-IUL, CISUC, ISTAR-IUL","institution_ids":["https://openalex.org/I4210161069","https://openalex.org/I110026055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039806091","display_name":"Lu\u00eds Nunes","orcid":"https://orcid.org/0000-0001-7072-0925"},"institutions":[{"id":"https://openalex.org/I110026055","display_name":"Iscte \u2013 Instituto Universit\u00e1rio de Lisboa","ror":"https://ror.org/014837179","country_code":"PT","type":"education","lineage":["https://openalex.org/I110026055"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Luis Nunes","raw_affiliation_strings":["ISCTE-IUL, Instituto de Telecomunica\u00e7\u00f5es, ISTAR-IUL"],"affiliations":[{"raw_affiliation_string":"ISCTE-IUL, Instituto de Telecomunica\u00e7\u00f5es, ISTAR-IUL","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I110026055"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043008759"],"corresponding_institution_ids":["https://openalex.org/I110026055","https://openalex.org/I4210120471"],"apc_list":{"value":350,"currency":"GBP","value_usd":429},"apc_paid":{"value":350,"currency":"GBP","value_usd":429},"fwci":10.5178,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.97930167,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"18","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T11182","display_name":"Auction Theory and Applications","score":0.9746999740600586,"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/computer-science","display_name":"Computer science","score":0.7619110345840454},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6304334402084351},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.562671959400177},{"id":"https://openalex.org/keywords/hospitality-industry","display_name":"Hospitality industry","score":0.4971611797809601},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.483936607837677},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.40840762853622437},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.40094566345214844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3739224672317505},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.295378178358078},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10268041491508484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619110345840454},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6304334402084351},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.562671959400177},{"id":"https://openalex.org/C525551149","wikidata":"https://www.wikidata.org/wiki/Q1495452","display_name":"Hospitality industry","level":3,"score":0.4971611797809601},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.483936607837677},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.40840762853622437},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.40094566345214844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3739224672317505},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.295378178358078},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10268041491508484},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.5334/dsj-2019-032","is_oa":true,"landing_page_url":"https://doi.org/10.5334/dsj-2019-032","pdf_url":"http://datascience.codata.org/articles/10.5334/dsj-2019-032/galley/863/download/","source":{"id":"https://openalex.org/S62969111","display_name":"Data Science Journal","issn_l":"1683-1470","issn":["1683-1470"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320511","host_organization_name":"Ubiquity Press","host_organization_lineage":["https://openalex.org/P4310320511"],"host_organization_lineage_names":["Ubiquity Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science Journal","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0618d9e483c3477cb9a3dd5fa7bb7fb8","is_oa":true,"landing_page_url":"https://doaj.org/article/0618d9e483c3477cb9a3dd5fa7bb7fb8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science Journal, Vol 18, Iss 1 (2019)","raw_type":"article"},{"id":"pmh:oai:ojs.datascience.codata.org:article/913","is_oa":true,"landing_page_url":"https://datascience.codata.org/jms/article/view/dsj-2019-032","pdf_url":null,"source":{"id":"https://openalex.org/S62969111","display_name":"Data Science Journal","issn_l":"1683-1470","issn":["1683-1470"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320511","host_organization_name":"Ubiquity Press","host_organization_lineage":["https://openalex.org/P4310320511"],"host_organization_lineage_names":["Ubiquity Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science Journal; Vol 18 (2019); 32","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repositorio.iscte-iul.pt:10071/18427","is_oa":true,"landing_page_url":"http://hdl.handle.net/10071/18427","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.5334/dsj-2019-032","is_oa":true,"landing_page_url":"https://doi.org/10.5334/dsj-2019-032","pdf_url":"http://datascience.codata.org/articles/10.5334/dsj-2019-032/galley/863/download/","source":{"id":"https://openalex.org/S62969111","display_name":"Data Science Journal","issn_l":"1683-1470","issn":["1683-1470"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320511","host_organization_name":"Ubiquity Press","host_organization_lineage":["https://openalex.org/P4310320511"],"host_organization_lineage_names":["Ubiquity Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science Journal","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2958693364.pdf","grobid_xml":"https://content.openalex.org/works/W2958693364.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1879299343","https://openalex.org/W1969420854","https://openalex.org/W1983749049","https://openalex.org/W2002568221","https://openalex.org/W2006746888","https://openalex.org/W2011236033","https://openalex.org/W2033298259","https://openalex.org/W2036132389","https://openalex.org/W2036991003","https://openalex.org/W2044875104","https://openalex.org/W2053600783","https://openalex.org/W2081084322","https://openalex.org/W2098576843","https://openalex.org/W2102759162","https://openalex.org/W2106411961","https://openalex.org/W2107802088","https://openalex.org/W2130988245","https://openalex.org/W2131814102","https://openalex.org/W2133218381","https://openalex.org/W2136451344","https://openalex.org/W2150301948","https://openalex.org/W2161336914","https://openalex.org/W2263137951","https://openalex.org/W2295598076","https://openalex.org/W2530921964","https://openalex.org/W2544547571","https://openalex.org/W2611982009","https://openalex.org/W2758488550","https://openalex.org/W2790652906","https://openalex.org/W3123613287","https://openalex.org/W3150796314","https://openalex.org/W3151685851","https://openalex.org/W4212776661"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W2040545019","https://openalex.org/W1970611213","https://openalex.org/W1707372784"],"abstract_inverted_index":{"Booking":[0],"cancellations":[1,123,227],"negatively":[2],"contribute":[3],"to":[4,35,38,99,103,119,147,185,198,204,210,225,234],"the":[5,16,44,109,137,149,159,178],"production":[6],"of":[7,46,111,139,151,215,220],"accurate":[8],"forecasts,":[9],"which":[10,196],"comprise":[11],"a":[12,54,70,80,112,140,156],"critical":[13],"tool":[14],"in":[15,53,69,86,122,168,171,175],"hospitality":[17],"industry.":[18],"Research":[19],"has":[20,49],"shown":[21],"that":[22],"with":[23,164,217],"today\u2019s":[24],"computational":[25],"power":[26],"and":[27,61,74,84,115,127,134,173,190,200,206],"advanced":[28],"machine":[29,95],"learning":[30,96],"algorithms":[31],"it":[32],"is":[33],"possible":[34],"build":[36],"models":[37,48,65],"predict":[39,186],"bookings":[40,197,216],"cancellation":[41],"likelihood.":[42],"However,":[43],"effectiveness":[45],"these":[47,64],"never":[50],"been":[51],"evaluated":[52],"real":[55],"environment.":[56],"To":[57],"fill":[58],"this":[59],"gap":[60],"investigate":[62],"how":[63,207],"can":[66],"be":[67],"implemented":[68],"decision":[71],"support":[72],"system":[73,97,182],"its":[75,162],"impact":[76],"on":[77,92],"demand-management":[78],"decisions,":[79],"prototype":[81,160],"was":[82],"built":[83],"deployed":[85],"two":[87,104],"hotels.":[88],"The":[89,181,212],"prototype,":[90],"based":[91],"an":[93],"automated":[94],"designed":[98,118],"learn":[100,128],"continuously,":[101],"lead":[102],"important":[105],"research":[106],"contributions.":[107],"First,":[108],"development":[110],"training":[113],"method":[114],"weighting":[116],"mechanism":[117],"capture":[120],"changes":[121],"patterns":[124],"over":[125,153],"time":[126],"from":[129],"previous":[130],"days\u2019":[131],"predictions":[132,152],"hits":[133],"errors.":[135],"Second,":[136],"creation":[138],"new":[141],"measure":[142,148],"\u2013":[143,146],"Minimum":[144],"Frequency":[145],"precision":[150],"time.":[154],"From":[155],"business":[157],"standpoint,":[158],"demonstrated":[161],"effectiveness,":[163],"results":[165],"exceeding":[166],"84%":[167],"accuracy,":[169],"82%":[170],"precision,":[172],"88%":[174],"Area":[176],"Under":[177],"Curve":[179],"(AUC).":[180],"allowed":[183,223],"hotels":[184,224],"their":[187,236],"net":[188],"demand":[189],"thus":[191],"making":[192],"better":[193],"decisions":[194],"about":[195],"accept":[199],"reject,":[201],"what":[202],"prices":[203],"make,":[205],"many":[208],"rooms":[209],"oversell.":[211],"systematic":[213],"prediction":[214],"high":[218],"probability":[219],"being":[221],"canceled":[222],"reduce":[226],"by":[228,232],"37":[229],"percentage":[230],"points":[231],"acting":[233],"avoid":[235],"cancellation.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}