{"id":"https://openalex.org/W4410519296","doi":"https://doi.org/10.3390/informatics12020052","title":"Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets","display_name":"Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets","publication_year":2025,"publication_date":"2025-05-20","ids":{"openalex":"https://openalex.org/W4410519296","doi":"https://doi.org/10.3390/informatics12020052"},"language":"en","primary_location":{"id":"doi:10.3390/informatics12020052","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics12020052","pdf_url":"https://www.mdpi.com/2227-9709/12/2/52/pdf?version=1747729230","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2227-9709/12/2/52/pdf?version=1747729230","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111061766","display_name":"Daniel Crist\u00f3bal Andrade-Gir\u00f3n","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142694","display_name":"Universidad Nacional Jos\u00e9 Faustino S\u00e1nchez Carri\u00f3n","ror":"https://ror.org/040akr227","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210142694"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Daniel Crist\u00f3bal Andrade-Gir\u00f3n","raw_affiliation_strings":["Department of Formal and Natural Sciences, Universidad Nacional Jos\u00e9 Faustino S\u00e1nchez Carri\u00f3n, Lima 15136, Peru"],"affiliations":[{"raw_affiliation_string":"Department of Formal and Natural Sciences, Universidad Nacional Jos\u00e9 Faustino S\u00e1nchez Carri\u00f3n, Lima 15136, Peru","institution_ids":["https://openalex.org/I4210142694"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088145305","display_name":"William Joel Mar\u00edn Rodriguez","orcid":"https://orcid.org/0000-0002-0861-9663"},"institutions":[{"id":"https://openalex.org/I4210142694","display_name":"Universidad Nacional Jos\u00e9 Faustino S\u00e1nchez Carri\u00f3n","ror":"https://ror.org/040akr227","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210142694"]}],"countries":["PE"],"is_corresponding":true,"raw_author_name":"William Joel Marin-Rodriguez","raw_affiliation_strings":["Department of Engineering Systems, Computer and Electronics, Universidad Nacional Jos\u00e9 Faustino S\u00e1nchez Carri\u00f3n, Lima 15136, Peru"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Systems, Computer and Electronics, Universidad Nacional Jos\u00e9 Faustino S\u00e1nchez Carri\u00f3n, Lima 15136, Peru","institution_ids":["https://openalex.org/I4210142694"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030376041","display_name":"Marcelo Gumercindo Z\u00fa\u00f1iga-Rojas","orcid":"https://orcid.org/0000-0002-7527-3762"},"institutions":[{"id":"https://openalex.org/I4210142694","display_name":"Universidad Nacional Jos\u00e9 Faustino S\u00e1nchez Carri\u00f3n","ror":"https://ror.org/040akr227","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210142694"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Marcelo Gumercindo Zu\u00f1iga-Rojas","raw_affiliation_strings":["Department of Social Sciences and Communication, Universidad Nacional Jos\u00e9 Faustino S\u00e1nchez Carri\u00f3n, Lima 15136, Peru"],"affiliations":[{"raw_affiliation_string":"Department of Social Sciences and Communication, Universidad Nacional Jos\u00e9 Faustino S\u00e1nchez Carri\u00f3n, Lima 15136, Peru","institution_ids":["https://openalex.org/I4210142694"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088145305"],"corresponding_institution_ids":["https://openalex.org/I4210142694"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":6.0204,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95794451,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"12","issue":"2","first_page":"52","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9890999794006348,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9890999794006348,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9836999773979187,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/feature-selection","display_name":"Feature selection","score":0.7436001300811768},{"id":"https://openalex.org/keywords/real-estate","display_name":"Real estate","score":0.6578467488288879},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5330380797386169},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5053127408027649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5008890628814697},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.43398427963256836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39463263750076294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38047388195991516},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.34439826011657715},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2779831886291504},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.13577121496200562}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7436001300811768},{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.6578467488288879},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5330380797386169},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5053127408027649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5008890628814697},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.43398427963256836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39463263750076294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38047388195991516},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34439826011657715},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2779831886291504},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.13577121496200562},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/informatics12020052","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics12020052","pdf_url":"https://www.mdpi.com/2227-9709/12/2/52/pdf?version=1747729230","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3b7ca6113eef4a859eef99e82ed78fe8","is_oa":true,"landing_page_url":"https://doaj.org/article/3b7ca6113eef4a859eef99e82ed78fe8","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Informatics, Vol 12, Iss 2, p 52 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/informatics12020052","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics12020052","pdf_url":"https://www.mdpi.com/2227-9709/12/2/52/pdf?version=1747729230","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410519296.pdf","grobid_xml":"https://content.openalex.org/works/W4410519296.grobid-xml"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W1566332026","https://openalex.org/W1732823242","https://openalex.org/W1944586112","https://openalex.org/W1978769039","https://openalex.org/W1982394209","https://openalex.org/W2176992146","https://openalex.org/W2185314167","https://openalex.org/W2251575556","https://openalex.org/W2286812462","https://openalex.org/W2562457029","https://openalex.org/W2593086047","https://openalex.org/W2625007102","https://openalex.org/W2766383435","https://openalex.org/W2778213743","https://openalex.org/W2888945543","https://openalex.org/W2892821018","https://openalex.org/W2909321827","https://openalex.org/W2913280151","https://openalex.org/W2949697405","https://openalex.org/W2963847595","https://openalex.org/W2971893306","https://openalex.org/W2979641612","https://openalex.org/W2979950223","https://openalex.org/W2983579676","https://openalex.org/W2984704311","https://openalex.org/W2990460313","https://openalex.org/W2991751580","https://openalex.org/W3011985411","https://openalex.org/W3024916513","https://openalex.org/W3039928393","https://openalex.org/W3044141776","https://openalex.org/W3044867970","https://openalex.org/W3080996596","https://openalex.org/W3083323256","https://openalex.org/W3085431519","https://openalex.org/W3114369069","https://openalex.org/W3120811127","https://openalex.org/W3121222283","https://openalex.org/W3123930234","https://openalex.org/W3133557031","https://openalex.org/W3139741344","https://openalex.org/W3185256938","https://openalex.org/W3186962463","https://openalex.org/W3199696482","https://openalex.org/W3206070692","https://openalex.org/W3217174244","https://openalex.org/W4206800209","https://openalex.org/W4210341208","https://openalex.org/W4229453505","https://openalex.org/W4245953385","https://openalex.org/W4251419640","https://openalex.org/W4309677946","https://openalex.org/W4315628873","https://openalex.org/W4316089757","https://openalex.org/W4327693081","https://openalex.org/W4384377186","https://openalex.org/W4386836946","https://openalex.org/W4387972748","https://openalex.org/W4394611796","https://openalex.org/W4395012092","https://openalex.org/W4396667308","https://openalex.org/W4399210021","https://openalex.org/W4399932691","https://openalex.org/W4400284394","https://openalex.org/W4401929797","https://openalex.org/W4402448617","https://openalex.org/W4402633065","https://openalex.org/W4402749830","https://openalex.org/W4402859857","https://openalex.org/W4403649903","https://openalex.org/W4403723344","https://openalex.org/W4403762101","https://openalex.org/W4406155645","https://openalex.org/W4406523584","https://openalex.org/W6633796437","https://openalex.org/W6782512066","https://openalex.org/W6811498250","https://openalex.org/W6854665373","https://openalex.org/W6869939564","https://openalex.org/W6872286000"],"related_works":["https://openalex.org/W2267291520","https://openalex.org/W1570557499","https://openalex.org/W4205762803","https://openalex.org/W2338356869","https://openalex.org/W2339666525","https://openalex.org/W2229866233","https://openalex.org/W2611341084","https://openalex.org/W3123266604","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Real":[0],"estate":[1,33],"is":[2],"crucial":[3],"to":[4,140,165,210],"the":[5,16,55,59,163,212],"global":[6],"economy,":[7],"propelling":[8],"economic":[9],"and":[10,29,48,88,119,137,147,156,178,190,207,214],"social":[11],"development.":[12],"This":[13],"study":[14],"examines":[15],"effects":[17],"of":[18,68,74,83,86,94,104,114,117,122,160,176,181,216],"dimensionality":[19,184],"reduction":[20,130,185],"through":[21,131],"Recursive":[22],"Feature":[23],"Elimination":[24],"(RFE),":[25],"Random":[26,41],"Forest":[27],"(RF),":[28],"Boruta":[30,161],"on":[31],"real":[32],"price":[34],"prediction,":[35],"assessing":[36],"ensemble":[37],"models":[38,217],"like":[39],"Bagging,":[40],"Forest,":[42],"Gradient":[43,107,135],"Boosting,":[44],"AdaBoost,":[45],"Stacking,":[46,170],"Voting,":[47],"Extra":[49],"Trees.":[50],"The":[51,158],"results":[52],"indicate":[53],"that":[54],"Stacking":[56,138],"model":[57],"achieved":[58],"best":[60],"performance":[61,168],"with":[62,101,111,151,171],"an":[63,112,141,172],"MAE":[64,113,144,175],"(mean":[65,71],"absolute":[66],"error)":[67,73,82],"14,090,":[69],"MSE":[70],"squared":[72],"5.338":[75],"\u00d7":[76],"108,":[77],"RMSE":[78],"(root":[79],"mean":[80],"square":[81],"23,100,":[84],"R2":[85,116,155,180],"0.924,":[87],"a":[89,102,120,179],"Concordance":[90],"Correlation":[91],"Coefficient":[92],"(CCC)":[93],"0.960,":[95],"also":[96],"demonstrating":[97],"notable":[98],"computational":[99,188],"efficiency":[100,189],"time":[103],"67.23":[105],"s.":[106],"Boosting":[108,136],"closely":[109],"followed,":[110],"14,540,":[115],"0.920,":[118],"CCC":[121],"0.958,":[123],"requiring":[124],"1.76":[125],"s":[126],"for":[127,193],"computation.":[128],"Variable":[129],"RFE":[132],"in":[133,143,154,169,174,218],"both":[134],"led":[139],"increase":[142,173],"by":[145],"16.9%":[146],"14.6%,":[148],"respectively,":[149],"along":[150],"slight":[152],"reductions":[153],"CCC.":[157],"application":[159],"reduced":[162],"variables":[164],"16,":[166],"maintaining":[167],"9.8%":[177],"0.908.":[182],"These":[183],"techniques":[186],"enhanced":[187],"proved":[191],"effective":[192],"practical":[194],"applications":[195],"without":[196],"significantly":[197],"compromising":[198],"accuracy.":[199],"Future":[200],"research":[201],"should":[202],"explore":[203],"automatic":[204],"hyperparameter":[205],"optimization":[206],"hybrid":[208],"approaches":[209],"improve":[211],"adaptability":[213],"robustness":[215],"complex":[219],"contexts.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
