{"id":"https://openalex.org/W3211634340","doi":"https://doi.org/10.1145/3474717.3484254","title":"Modeling Real Estate Dynamics Using Temporal Encoding","display_name":"Modeling Real Estate Dynamics Using Temporal Encoding","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W3211634340","doi":"https://doi.org/10.1145/3474717.3484254","mag":"3211634340"},"language":"en","primary_location":{"id":"doi:10.1145/3474717.3484254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3474717.3484254","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3474717.3484254","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3474717.3484254","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065199727","display_name":"Chen Jiang","orcid":"https://orcid.org/0000-0003-0562-6240"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Jiang","raw_affiliation_strings":["Auburn University, Auburn, AL, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, AL, US","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338374","display_name":"Jingjing Li","orcid":"https://orcid.org/0000-0002-1410-9096"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingjing Li","raw_affiliation_strings":["Auburn University, Auburn, AL, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, AL, US","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402671","display_name":"Wenlu Wang","orcid":"https://orcid.org/0000-0001-5079-6447"},"institutions":[{"id":"https://openalex.org/I96749437","display_name":"Texas A&M University \u2013 Corpus Christi","ror":"https://ror.org/01mrfdz82","country_code":"US","type":"education","lineage":["https://openalex.org/I96749437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenlu Wang","raw_affiliation_strings":["Texas A&M University - Corpus Christi, Corpus Christi, TX, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University - Corpus Christi, Corpus Christi, TX, US","institution_ids":["https://openalex.org/I96749437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001457193","display_name":"Wei\u2010Shinn Ku","orcid":"https://orcid.org/0000-0001-8636-4689"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Shinn Ku","raw_affiliation_strings":["Auburn University, Auburn, AL, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, AL, US","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"516","last_page":"525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9933000206947327,"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"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9933000206947327,"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"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9782000184059143,"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/T10632","display_name":"Housing Market and Economics","score":0.9771000146865845,"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/real-estate","display_name":"Real estate","score":0.7195483446121216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.574608325958252},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5504938364028931},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.5138623714447021},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4716310501098633},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.3496919274330139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3117034435272217},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2966926693916321}],"concepts":[{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.7195483446121216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574608325958252},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5504938364028931},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.5138623714447021},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4716310501098633},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3496919274330139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3117034435272217},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2966926693916321},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","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},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474717.3484254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3474717.3484254","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3474717.3484254","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3474717.3484254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3474717.3484254","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3474717.3484254","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3810809781","display_name":null,"funder_award_id":"IIS-1618669 and ACI-1642133","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4832152604","display_name":null,"funder_award_id":"IIS-1618669","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8117600935","display_name":"Collaborative Research: CICI: Secure and Resilient Architecture: Data Integrity Assurance and Privacy Protection Solutions for Secure Interoperability of Cloud Resources","funder_award_id":"1642133","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3211634340.pdf","grobid_xml":"https://content.openalex.org/works/W3211634340.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W625457988","https://openalex.org/W1745671319","https://openalex.org/W1924770834","https://openalex.org/W1930624869","https://openalex.org/W1980276147","https://openalex.org/W1988134474","https://openalex.org/W1988518729","https://openalex.org/W1992323181","https://openalex.org/W2049049074","https://openalex.org/W2051976719","https://openalex.org/W2053812087","https://openalex.org/W2064675550","https://openalex.org/W2067071420","https://openalex.org/W2067998406","https://openalex.org/W2068211094","https://openalex.org/W2087347434","https://openalex.org/W2104960492","https://openalex.org/W2117014758","https://openalex.org/W2117829824","https://openalex.org/W2139846410","https://openalex.org/W2145344497","https://openalex.org/W2251575556","https://openalex.org/W2374115013","https://openalex.org/W2586112617","https://openalex.org/W2603648311","https://openalex.org/W2775204485","https://openalex.org/W2801490189","https://openalex.org/W2922524447","https://openalex.org/W3124945713","https://openalex.org/W3125776798","https://openalex.org/W3146166473","https://openalex.org/W4238002057","https://openalex.org/W4256300792"],"related_works":["https://openalex.org/W4205698903","https://openalex.org/W4400613637","https://openalex.org/W4294968941","https://openalex.org/W4283819461","https://openalex.org/W4390279739","https://openalex.org/W4205413867","https://openalex.org/W3179695362","https://openalex.org/W3087333412","https://openalex.org/W4372324681","https://openalex.org/W4401667161"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"assisted":[3],"modern":[4],"life":[5],"in":[6,39,74],"various":[7],"ways.":[8],"One":[9],"example":[10],"is":[11,50],"that":[12],"accurate":[13,64],"economic":[14],"prediction":[15,49],"helps":[16],"people":[17],"better":[18],"allocate":[19],"and":[20,36,55],"distribute":[21],"their":[22],"resources.":[23],"In":[24,61],"the":[25,33,43],"U.S.,":[26],"home":[27,53,67],"prices":[28,68],"have":[29],"been":[30],"accelerating":[31],"during":[32],"COVID-19":[34],"pandemic":[35],"climbed":[37],"13.3%":[38],"March":[40],"2021":[41],"from":[42],"previous":[44],"year.":[45],"Real":[46],"estate":[47],"market":[48],"critical":[51],"for":[52],"buyers":[54],"investors":[56],"to":[57,77],"make":[58],"wise":[59],"decisions.":[60],"some":[62],"circumstances,":[63],"predictions":[65],"on":[66],"are":[69],"more":[70],"important":[71],"than":[72],"usual":[73],"helping":[75],"decision-makers":[76],"reduce":[78],"financial":[79],"mistakes.":[80]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}