{"id":"https://openalex.org/W2998687709","doi":"https://doi.org/10.1007/978-3-030-37599-7_45","title":"Restaurant Health Inspections and Crime Statistics Predict the Real Estate Market in New York City","display_name":"Restaurant Health Inspections and Crime Statistics Predict the Real Estate Market in New York City","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2998687709","doi":"https://doi.org/10.1007/978-3-030-37599-7_45","mag":"2998687709"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-37599-7_45","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-37599-7_45","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5024658351","display_name":"Rafael M. Moraes","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]},{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rafael M. Moraes","raw_affiliation_strings":["Courant Institute of Mathematical Sciences, Computer Science Department, New York University, New York City, USA"],"affiliations":[{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, Computer Science Department, New York University, New York City, USA","institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108315938","display_name":"Anasse Bari","orcid":null},"institutions":[{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anasse Bari","raw_affiliation_strings":["Courant Institute of Mathematical Sciences, Computer Science Department, New York University, New York City, USA"],"affiliations":[{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, Computer Science Department, New York University, New York City, USA","institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080280875","display_name":"Jiachen Zhu","orcid":"https://orcid.org/0009-0009-0600-3804"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]},{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiachen Zhu","raw_affiliation_strings":["Courant Institute of Mathematical Sciences, Computer Science Department, New York University, New York City, USA"],"affiliations":[{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, Computer Science Department, New York University, New York City, USA","institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024658351"],"corresponding_institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":9.8433,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.98059291,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"543","last_page":"552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9911999702453613,"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":0.9911999702453613,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9661999940872192,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9514999985694885,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.861221432685852},{"id":"https://openalex.org/keywords/real-estate","display_name":"Real estate","score":0.820623517036438},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.7688889503479004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6356934309005737},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.49715879559516907},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4754897356033325},{"id":"https://openalex.org/keywords/boom","display_name":"Boom","score":0.44554603099823},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43873119354248047},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.43248796463012695},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4320184588432312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3574190139770508},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.35691627860069275},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3157602846622467},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.25018179416656494},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.24858638644218445},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20502376556396484},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1353011131286621}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.861221432685852},{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.820623517036438},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.7688889503479004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6356934309005737},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.49715879559516907},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4754897356033325},{"id":"https://openalex.org/C141441539","wikidata":"https://www.wikidata.org/wiki/Q1970908","display_name":"Boom","level":2,"score":0.44554603099823},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43873119354248047},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.43248796463012695},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4320184588432312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3574190139770508},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.35691627860069275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3157602846622467},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.25018179416656494},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.24858638644218445},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20502376556396484},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1353011131286621},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-37599-7_45","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-37599-7_45","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1544274373","https://openalex.org/W1833923049","https://openalex.org/W1989317706","https://openalex.org/W2064675550","https://openalex.org/W2096176758","https://openalex.org/W2143082178","https://openalex.org/W2162102623","https://openalex.org/W2517906712","https://openalex.org/W2740787998","https://openalex.org/W2892285536","https://openalex.org/W2946427408","https://openalex.org/W4292081177","https://openalex.org/W4301452352"],"related_works":["https://openalex.org/W3108868229","https://openalex.org/W4205686051","https://openalex.org/W4206275624","https://openalex.org/W3189884647","https://openalex.org/W4313451520","https://openalex.org/W3134571208","https://openalex.org/W3203664106","https://openalex.org/W4251864566","https://openalex.org/W4224092800","https://openalex.org/W2910942700"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
