{"id":"https://openalex.org/W3113183942","doi":"https://doi.org/10.3390/e22121421","title":"Artificial Intelligence for Modeling Real Estate Price Using Call Detail Records and Hybrid Machine Learning Approach","display_name":"Artificial Intelligence for Modeling Real Estate Price Using Call Detail Records and Hybrid Machine Learning Approach","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3113183942","doi":"https://doi.org/10.3390/e22121421","mag":"3113183942","pmid":"https://pubmed.ncbi.nlm.nih.gov/33339406"},"language":"en","primary_location":{"id":"doi:10.3390/e22121421","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22121421","pdf_url":"https://www.mdpi.com/1099-4300/22/12/1421/pdf?version=1608132789","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/22/12/1421/pdf?version=1608132789","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025407846","display_name":"Gerg\u0151 Pint\u00e9r","orcid":"https://orcid.org/0000-0003-4731-3816"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Gergo Pinter","raw_affiliation_strings":["John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary"],"raw_orcid":"https://orcid.org/0000-0003-4731-3816","affiliations":[{"raw_affiliation_string":"John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109011370","display_name":"Amir Mosavi","orcid":null},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]},{"id":"https://openalex.org/I124261462","display_name":"Oxford Brookes University","ror":"https://ror.org/04v2twj65","country_code":"GB","type":"education","lineage":["https://openalex.org/I124261462"]},{"id":"https://openalex.org/I54108979","display_name":"Norwegian University of Life Sciences","ror":"https://ror.org/04a1mvv97","country_code":"NO","type":"education","lineage":["https://openalex.org/I54108979"]}],"countries":["GB","HU","NO"],"is_corresponding":true,"raw_author_name":"Amir Mosavi","raw_affiliation_strings":["John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary","School of Economics and Business, Norwegian University of Life Sciences, 1430 \u00c5s, Norway","School of the Built Environment, Oxford Brookes University, Oxford OX3 0BP, UK"],"raw_orcid":"https://orcid.org/0000-0003-4842-0613","affiliations":[{"raw_affiliation_string":"John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]},{"raw_affiliation_string":"School of Economics and Business, Norwegian University of Life Sciences, 1430 \u00c5s, Norway","institution_ids":["https://openalex.org/I54108979"]},{"raw_affiliation_string":"School of the Built Environment, Oxford Brookes University, Oxford OX3 0BP, UK","institution_ids":["https://openalex.org/I124261462"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039071893","display_name":"Imre Felde","orcid":"https://orcid.org/0000-0003-4126-2480"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Imre Felde","raw_affiliation_strings":["John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109011370"],"corresponding_institution_ids":["https://openalex.org/I103356709","https://openalex.org/I124261462","https://openalex.org/I54108979"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":8.6968,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.97750834,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"22","issue":"12","first_page":"1421","last_page":"1421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9951000213623047,"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":0.9951000213623047,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/real-estate","display_name":"Real estate","score":0.7641406059265137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5441095232963562},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.543585479259491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5202849507331848},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5127097368240356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3484511077404022},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1428985893726349},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08926582336425781},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.07990416884422302},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.07175442576408386}],"concepts":[{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.7641406059265137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5441095232963562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.543585479259491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5202849507331848},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5127097368240356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3484511077404022},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1428985893726349},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08926582336425781},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.07990416884422302},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.07175442576408386}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/e22121421","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22121421","pdf_url":"https://www.mdpi.com/1099-4300/22/12/1421/pdf?version=1608132789","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:33339406","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33339406","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:zenodo.org:5710163","is_oa":true,"landing_page_url":"https://zenodo.org/record/5710163","pdf_url":"https://zenodo.org/record/5710163","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Entropy 22(12)","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:8c17a6452af44b16b4e5a41500c8977a","is_oa":true,"landing_page_url":"https://doaj.org/article/8c17a6452af44b16b4e5a41500c8977a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 22, Iss 12, p 1421 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/22/12/1421/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e22121421","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 22; Issue 12; Pages: 1421","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7766813","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7766813","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:tle:ae90b84c-53b1-47d2-81e8-9216aedc7fc1:afee126f-04b2-41a9-a6dd-b29b7c6c20ab:1","is_oa":true,"landing_page_url":"https://radar.brookes.ac.uk/radar/items/ae90b84c-53b1-47d2-81e8-9216aedc7fc1/1/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400541","display_name":"Radar (Oxford Brookes University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124261462","host_organization_name":"Oxford Brookes University","host_organization_lineage":["https://openalex.org/I124261462"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.3390/e22121421","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22121421","pdf_url":"https://www.mdpi.com/1099-4300/22/12/1421/pdf?version=1608132789","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1782027177","display_name":null,"funder_award_id":"EFOP-3.6.2-16-2017-00016","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320308269","display_name":"Alexander von Humboldt-Stiftung","ror":"https://ror.org/012kf4317"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3113183942.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W113230244","https://openalex.org/W1834125169","https://openalex.org/W1969085745","https://openalex.org/W1977177161","https://openalex.org/W1982300822","https://openalex.org/W1989373517","https://openalex.org/W2004602565","https://openalex.org/W2015304908","https://openalex.org/W2054448337","https://openalex.org/W2092943330","https://openalex.org/W2100378013","https://openalex.org/W2118806683","https://openalex.org/W2133400794","https://openalex.org/W2134946452","https://openalex.org/W2137787346","https://openalex.org/W2152195021","https://openalex.org/W2173315138","https://openalex.org/W2230607565","https://openalex.org/W2292633882","https://openalex.org/W2295797531","https://openalex.org/W2469717596","https://openalex.org/W2543580944","https://openalex.org/W2584179300","https://openalex.org/W2754408748","https://openalex.org/W2763572577","https://openalex.org/W2797648991","https://openalex.org/W2799597355","https://openalex.org/W2799766028","https://openalex.org/W2799869287","https://openalex.org/W2807693531","https://openalex.org/W2895292469","https://openalex.org/W2902369034","https://openalex.org/W2919383237","https://openalex.org/W2923930732","https://openalex.org/W2953895861","https://openalex.org/W2966534499","https://openalex.org/W2999483650","https://openalex.org/W3002858563","https://openalex.org/W3007662647","https://openalex.org/W3013390865","https://openalex.org/W3045435521","https://openalex.org/W3048644215","https://openalex.org/W3098625914","https://openalex.org/W3105674733","https://openalex.org/W3122287047","https://openalex.org/W3179746227","https://openalex.org/W3209752594","https://openalex.org/W4237767357","https://openalex.org/W4243421895","https://openalex.org/W4285719527","https://openalex.org/W6604582312","https://openalex.org/W6680516596","https://openalex.org/W6750660796","https://openalex.org/W6781416849","https://openalex.org/W6830217086"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Advancement":[0],"of":[1,10,64,83,123,132,201,205],"accurate":[2],"models":[3],"for":[4,13,61,74],"predicting":[5,75],"real":[6,30,50,77,172,215],"estate":[7,31,51,78,173,216],"price":[8,79],"is":[9,46,116,139,196],"utmost":[11],"importance":[12],"urban":[14],"development":[15],"and":[16,26,104,149,164,183,203],"several":[17],"critical":[18],"economic":[19],"functions.":[20],"Due":[21],"to":[22,48],"the":[23,65,71,76,81,119,129,161,165,171,176,184,192,199,211],"significant":[24],"uncertainties":[25],"dynamic":[27],"variables,":[28],"modeling":[29,52],"has":[32],"been":[33],"studied":[34],"as":[35,110],"complex":[36],"systems.":[37],"In":[38],"this":[39],"study,":[40],"a":[41,188],"novel":[42],"machine":[43,120],"learning":[44,121],"method":[45,122],"proposed":[47,154],"tackle":[49],"complexity.":[53],"Call":[54],"detail":[55],"records":[56],"(CDR)":[57],"provides":[58],"excellent":[59],"opportunities":[60],"in-depth":[62],"investigation":[63],"mobility":[66,89,206],"characterization.":[67],"This":[68],"study":[69],"explores":[70],"CDR":[72],"potential":[73],"with":[80,128,210,213],"aid":[82],"artificial":[84],"intelligence":[85],"(AI).":[86],"Several":[87],"essential":[88],"entropy":[90,163,204],"factors,":[91],"including":[92],"dweller":[93,95,177,179],"entropy,":[94,98,180],"gyration,":[96,100,178,182],"workers'":[97,105,162,181,185],"worker":[99],"dwellers'":[101,166],"work":[102,167],"distance,":[103,107],"home":[106,186],"are":[108,207],"used":[109],"input":[111],"variables.":[112],"The":[113,153],"prediction":[114],"model":[115,155],"developed":[117],"using":[118,141],"multi-layered":[124],"perceptron":[125],"(MLP)":[126],"trained":[127],"evolutionary":[130],"algorithm":[131],"particle":[133],"swarm":[134],"optimization":[135],"(PSO).":[136],"Model":[137],"performance":[138],"evaluated":[140],"mean":[142],"square":[143],"error":[144],"(MSE),":[145],"sustainability":[146],"index":[147,151],"(SI),":[148],"Willmott's":[150],"(WI).":[152],"showed":[156],"promising":[157],"results":[158],"revealing":[159],"that":[160,198],"distances":[168],"directly":[169],"influence":[170],"price.":[174,193],"However,":[175],"had":[187],"minimum":[189],"effect":[190],"on":[191],"Furthermore,":[194],"it":[195],"shown":[197],"flow":[200],"activities":[202],"often":[208],"associated":[209],"regions":[212],"lower":[214],"prices.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
