{"id":"https://openalex.org/W4411005722","doi":"https://doi.org/10.1080/01605682.2025.2513449","title":"Enhancing house price forecasting with hybrid data driven feature extraction model","display_name":"Enhancing house price forecasting with hybrid data driven feature extraction model","publication_year":2025,"publication_date":"2025-06-02","ids":{"openalex":"https://openalex.org/W4411005722","doi":"https://doi.org/10.1080/01605682.2025.2513449"},"language":"en","primary_location":{"id":"doi:10.1080/01605682.2025.2513449","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2025.2513449","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","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/A5073432385","display_name":"Kian Lun Soon","orcid":"https://orcid.org/0000-0002-5733-9852"},"institutions":[{"id":"https://openalex.org/I181397559","display_name":"Asia Pacific University of Technology & Innovation","ror":"https://ror.org/03c52a632","country_code":"MY","type":"education","lineage":["https://openalex.org/I181397559"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Kian Lun Soon","raw_affiliation_strings":["Asia Pacific University of Technology & Innovation (APU)","Asia Pacific University of Technology & Innovation (APU), Federal Territory of Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asia Pacific University of Technology & Innovation (APU)","institution_ids":["https://openalex.org/I181397559"]},{"raw_affiliation_string":"Asia Pacific University of Technology & Innovation (APU), Federal Territory of Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I181397559"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lam Tatt Soon","orcid":"https://orcid.org/0000-0002-5733-9852"},"institutions":[{"id":"https://openalex.org/I4210143550","display_name":"Taylor's University","ror":"https://ror.org/0498pcx51","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210143550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Lam Tatt Soon","raw_affiliation_strings":["Taylor\u2019s University","Taylor's University, Subang Jaya, Petaling Jaya Selangor, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-5733-9852","affiliations":[{"raw_affiliation_string":"Taylor\u2019s University","institution_ids":["https://openalex.org/I4210143550"]},{"raw_affiliation_string":"Taylor's University, Subang Jaya, Petaling Jaya Selangor, Malaysia","institution_ids":["https://openalex.org/I4210143550"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jia Yi Teo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143550","display_name":"Taylor's University","ror":"https://ror.org/0498pcx51","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210143550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Jia Yi Teo","raw_affiliation_strings":["Taylor\u2019s University","Taylor's University, Subang Jaya, Petaling Jaya Selangor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taylor\u2019s University","institution_ids":["https://openalex.org/I4210143550"]},{"raw_affiliation_string":"Taylor's University, Subang Jaya, Petaling Jaya Selangor, Malaysia","institution_ids":["https://openalex.org/I4210143550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073432385"],"corresponding_institution_ids":["https://openalex.org/I181397559"],"apc_list":null,"apc_paid":null,"fwci":2.3476,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89932646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"77","issue":"4","first_page":"978","last_page":"989"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5793862342834473},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.5253838300704956},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.4787580072879791},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4500869810581207},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4266929626464844},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.417415976524353},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4161650836467743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35833466053009033},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3464724123477936},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.2020566463470459},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20047283172607422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5793862342834473},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.5253838300704956},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.4787580072879791},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4500869810581207},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4266929626464844},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.417415976524353},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4161650836467743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35833466053009033},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3464724123477936},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.2020566463470459},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20047283172607422},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01605682.2025.2513449","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2025.2513449","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1555168845","https://openalex.org/W1569512666","https://openalex.org/W2000982976","https://openalex.org/W2064675550","https://openalex.org/W2735707179","https://openalex.org/W2798476254","https://openalex.org/W2869000049","https://openalex.org/W2911964244","https://openalex.org/W2944720967","https://openalex.org/W2990138404","https://openalex.org/W3159623433","https://openalex.org/W3200404759","https://openalex.org/W3209159805","https://openalex.org/W3212584046","https://openalex.org/W4206330483","https://openalex.org/W4231203916","https://openalex.org/W4239510810","https://openalex.org/W4288101107","https://openalex.org/W4384157309","https://openalex.org/W4390508451","https://openalex.org/W4402171034","https://openalex.org/W4402508613","https://openalex.org/W4406553835","https://openalex.org/W6813856844"],"related_works":["https://openalex.org/W2351217280","https://openalex.org/W2086836292","https://openalex.org/W2354083748","https://openalex.org/W2357949222","https://openalex.org/W2338005294","https://openalex.org/W2104192539","https://openalex.org/W2954733677","https://openalex.org/W2033865166","https://openalex.org/W2393625522","https://openalex.org/W1575721881"],"abstract_inverted_index":{"Accurate":[0],"house":[1,139,167],"price":[2,168],"estimation":[3],"is":[4,52],"crucial":[5],"for":[6],"stakeholders":[7],"such":[8,30],"as":[9,31,129,192],"homeowners,":[10],"investors,":[11],"and":[12,34,45,70,72,78,110,172],"policymakers.":[13],"While":[14],"current":[15],"models":[16],"excel":[17],"at":[18],"capturing":[19],"spatial":[20,57],"dependencies,":[21],"they":[22],"often":[23],"overlook":[24],"the":[25,41,125,158,165,183],"influence":[26],"of":[27,143,160,177,180],"contextual":[28,73],"factors":[29,59,74],"macroeconomic":[32],"conditions":[33],"property-specific":[35],"attributes.":[36],"To":[37],"address":[38],"this":[39],"gap,":[40],"Variational":[42],"Mode":[43],"Decomposition":[44],"Random":[46,111],"Forest":[47,112],"(VMD-RF)":[48],"feature":[49,93,123],"extraction":[50],"model":[51,185],"proposed":[53],"to":[54,190],"consider":[55],"both":[56,170],"dependency":[58],"(i.e.":[60],"area,":[61],"Gross":[62],"Domestic":[63],"Product":[64],"(GDP),":[65],"Consumer":[66],"Price":[67],"Index":[68],"(CPI),":[69],"population)":[71],"(i.e.,":[75],"tenure,":[76],"age,":[77],"interest":[79],"rate)":[80],"in":[81,146],"generating":[82],"a":[83,119,132,152],"unified":[84],"housing":[85],"market":[86],"health":[87],"index.":[88],"Specifically,":[89],"VMD":[90],"decomposes":[91],"each":[92],"into":[94,118],"intrinsic":[95],"mode":[96],"functions":[97],"(IMFs),":[98],"revealing":[99],"underlying":[100],"data":[101],"patterns.":[102],"The":[103,141],"IMFs":[104],"from":[105],"all":[106],"features":[107],"are":[108],"concatenated,":[109],"performs":[113],"dimensionality":[114],"reduction,":[115],"consolidating":[116],"them":[117],"single":[120],"feature.":[121],"This":[122],"improves":[124],"model\u2019s":[126],"predictive":[127],"power,":[128],"evidenced":[130,193],"by":[131,194],"higher":[133],"Spearman\u2019s":[134],"correlation":[135],"coefficient":[136],"(0.9652)":[137],"with":[138],"prices.":[140],"contribution":[142],"VMD-RF":[144],"lies":[145],"its":[147,195],"enhanced":[148],"prediction":[149],"accuracy":[150],"within":[151],"simpler":[153],"machine":[154],"learning":[155],"framework,":[156],"avoiding":[157],"complexity":[159],"ensemble":[161],"methods.":[162],"Validated":[163],"using":[164],"Selangor":[166],"dataset,":[169],"VMD-RF-SVR":[171,184],"VMD-RF-LSTM":[173],"achieve":[174],"competitive":[175],"coefficients":[176],"determination":[178],"(R2)":[179],"0.97.":[181],"Furthermore,":[182],"demonstrates":[186],"superior":[187],"performance":[188],"compared":[189],"VMD-RF-LSTM,":[191],"lower":[196],"median":[197],"residual":[198],"distribution.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}