{"id":"https://openalex.org/W4401942476","doi":"https://doi.org/10.26599/bdma.2024.9020019","title":"House Price Prediction: A Multi-Source Data Fusion Perspective","display_name":"House Price Prediction: A Multi-Source Data Fusion Perspective","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4401942476","doi":"https://doi.org/10.26599/bdma.2024.9020019"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2024.9020019","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2024.9020019","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University 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":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/bdma.2024.9020019","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044722154","display_name":"Yaping Zhao","orcid":"https://orcid.org/0000-0001-5223-1853"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yaping Zhao","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong,China,999077"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong,China,999077","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030090268","display_name":"Jichang Zhao","orcid":"https://orcid.org/0000-0002-5319-8060"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jichang Zhao","raw_affiliation_strings":["School of Economics and Management, Beihang University,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beihang University,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008832723","display_name":"Edmund Y. Lam","orcid":"https://orcid.org/0000-0001-6268-950X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Edmund Y. Lam","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong,China,999077"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong,China,999077","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044722154"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":24.3714,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.99221243,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"7","issue":"3","first_page":"603","last_page":"620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9994999766349792,"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":0.9994999766349792,"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/perspective","display_name":"Perspective (graphical)","score":0.6853416562080383},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.45115625858306885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4115039110183716},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.38047274947166443},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.274161159992218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22300490736961365},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.07269954681396484}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6853416562080383},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.45115625858306885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4115039110183716},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.38047274947166443},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.274161159992218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22300490736961365},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07269954681396484},{"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:10.26599/bdma.2024.9020019","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2024.9020019","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University 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":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:225b2bf3635d49bf91fcff920e7428f0","is_oa":true,"landing_page_url":"https://doaj.org/article/225b2bf3635d49bf91fcff920e7428f0","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":"Big Data Mining and Analytics, Vol 7, Iss 3, Pp 603-620 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2024.9020019","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2024.9020019","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University 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":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W216611364","https://openalex.org/W317957491","https://openalex.org/W1589097074","https://openalex.org/W1979249583","https://openalex.org/W1982394209","https://openalex.org/W1983447967","https://openalex.org/W1988134474","https://openalex.org/W2008056655","https://openalex.org/W2018120288","https://openalex.org/W2020351153","https://openalex.org/W2025117385","https://openalex.org/W2025797685","https://openalex.org/W2030068896","https://openalex.org/W2036713095","https://openalex.org/W2058294106","https://openalex.org/W2067141068","https://openalex.org/W2099686024","https://openalex.org/W2106878035","https://openalex.org/W2109628770","https://openalex.org/W2139846410","https://openalex.org/W2172367695","https://openalex.org/W2251575556","https://openalex.org/W2295598076","https://openalex.org/W2398942906","https://openalex.org/W2743729757","https://openalex.org/W2776563983","https://openalex.org/W2796833530","https://openalex.org/W2797532987","https://openalex.org/W2799003896","https://openalex.org/W2886188206","https://openalex.org/W2907001860","https://openalex.org/W2982571610","https://openalex.org/W2982673924","https://openalex.org/W4241043241","https://openalex.org/W4248667631","https://openalex.org/W4308236036","https://openalex.org/W4319586081","https://openalex.org/W4319586187","https://openalex.org/W4319586336","https://openalex.org/W4319586733","https://openalex.org/W4382240110","https://openalex.org/W4392903227","https://openalex.org/W4392903336","https://openalex.org/W4401979937","https://openalex.org/W6608593636"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2149537132","https://openalex.org/W2376932109","https://openalex.org/W2018871932","https://openalex.org/W2001405890"],"abstract_inverted_index":{"House":[0],"price":[1,91,162,180],"prediction":[2,92,181],"is":[3,41],"of":[4,48,66,123,134,152,178],"utmost":[5],"importance":[6],"in":[7,77,127,185],"forecasting":[8],"residential":[9],"property":[10,59],"prices,":[11],"particularly":[12],"as":[13,71],"the":[14,45,78,135,170,174,186],"demand":[15],"for":[16,26,63],"high-quality":[17],"housing":[18],"continues":[19],"to":[20,44,89,172],"rise.":[21],"Accurate":[22],"predictions":[23],"have":[24,54],"implications":[25],"real":[27,187],"estate":[28,188],"investors,":[29],"financial":[30],"institutions,":[31],"urban":[32],"planners,":[33],"and":[34,74,105,114,147,176],"policymakers.":[35],"However,":[36],"accurately":[37],"predicting":[38],"house":[39,90,103,138,161,179],"prices":[40],"challenging":[42],"due":[43],"complex":[46],"interplay":[47],"various":[49],"influencing":[50,137],"factors.":[51],"Previous":[52],"studies":[53],"primarily":[55],"focused":[56],"on":[57],"basic":[58],"information,":[60],"leaving":[61],"room":[62],"further":[64],"exploration":[65],"more":[67],"intricate":[68],"features,":[69],"such":[70],"amenities,":[72,112],"traffic,":[73,113],"social":[75],"sentiments":[76],"surrounding":[79],"environment.":[80],"In":[81],"this":[82,167],"paper,":[83],"we":[84],"propose":[85],"a":[86,94,121,131,142,149],"novel":[87],"approach":[88,119,156],"from":[93,108,166],"multi-source":[95,143],"data":[96,144],"fusion":[97,145],"perspective.":[98],"Our":[99],"methodology":[100],"involves":[101],"analyzing":[102],"characteristics":[104],"incorporating":[106],"factors":[107],"diverse":[109],"aspects,":[110],"including":[111],"emotions.":[115],"We":[116],"validate":[117],"our":[118,155],"using":[120],"dataset":[122],"28550":[124],"real-world":[125],"transactions":[126],"Beijing,":[128],"China,":[129],"providing":[130],"comprehensive":[132],"analysis":[133],"drivers":[136],"prices.":[139],"By":[140],"adopting":[141],"perspective":[146],"considering":[148],"wide":[150],"range":[151],"influential":[153],"factors,":[154],"offers":[157],"valuable":[158],"insights":[159],"into":[160],"prediction.":[163],"The":[164],"findings":[165],"study":[168],"possess":[169],"capability":[171],"improve":[173],"accuracy":[175],"effectiveness":[177],"models,":[182],"benefiting":[183],"stakeholders":[184],"market.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}