{"id":"https://openalex.org/W174303117","doi":"https://doi.org/10.1007/978-3-642-37807-2_9","title":"Forecast of Air Quality Based on Ozone by Decision Trees and Neural Networks","display_name":"Forecast of Air Quality Based on Ozone by Decision Trees and Neural Networks","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W174303117","doi":"https://doi.org/10.1007/978-3-642-37807-2_9","mag":"174303117"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-37807-2_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-37807-2_9","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/A5068368062","display_name":"Nahun Loya","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Nahun Loya","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, M\u00e9xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077176173","display_name":"Iv\u00e1n Olmos-Pineda","orcid":"https://orcid.org/0000-0003-1698-000X"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Iv\u00e1n Olmos Pineda","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, M\u00e9xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016612157","display_name":"David Pinto","orcid":"https://orcid.org/0000-0002-8516-5925"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"David Pinto","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, M\u00e9xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013558219","display_name":"Helena G\u00f3mez-Adorno","orcid":"https://orcid.org/0000-0002-6966-9912"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Helena G\u00f3mez-Adorno","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, M\u00e9xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006307757","display_name":"Yuridiana Alem\u00e1n","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Yuridiana Alem\u00e1n","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, M\u00e9xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I721619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.8707,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84073107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9555000066757202,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10190","display_name":"Air Quality and Health Impacts","score":0.9049000144004822,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7331551313400269},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.7099830508232117},{"id":"https://openalex.org/keywords/ozone","display_name":"Ozone","score":0.6585976481437683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5991706848144531},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5767850279808044},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.54051673412323},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5015678405761719},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.47706568241119385},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32820913195610046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3110427260398865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.309281587600708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26581668853759766},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12585359811782837}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7331551313400269},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.7099830508232117},{"id":"https://openalex.org/C508106653","wikidata":"https://www.wikidata.org/wiki/Q36933","display_name":"Ozone","level":2,"score":0.6585976481437683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5991706848144531},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5767850279808044},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.54051673412323},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5015678405761719},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.47706568241119385},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32820913195610046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3110427260398865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.309281587600708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26581668853759766},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12585359811782837},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-37807-2_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-37807-2_9","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":5,"referenced_works":["https://openalex.org/W1560328422","https://openalex.org/W1968167212","https://openalex.org/W2133990480","https://openalex.org/W2219293789","https://openalex.org/W2254646395"],"related_works":["https://openalex.org/W2045240273","https://openalex.org/W4220736769","https://openalex.org/W2332134708","https://openalex.org/W1973746152","https://openalex.org/W2315188057","https://openalex.org/W2055079391","https://openalex.org/W2362740038","https://openalex.org/W2140774008","https://openalex.org/W2597723370","https://openalex.org/W4244771765"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}