{"id":"https://openalex.org/W3210311694","doi":"https://doi.org/10.1007/978-3-030-89691-1_4","title":"Consumer Price Index Forecasting Based on Univariate Time Series and a Deep Neural Network","display_name":"Consumer Price Index Forecasting Based on Univariate Time Series and a Deep Neural Network","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3210311694","doi":"https://doi.org/10.1007/978-3-030-89691-1_4","mag":"3210311694"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-89691-1_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-89691-1_4","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":"conference-paper","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/A5023175987","display_name":"Reynaldo Rosado","orcid":"https://orcid.org/0000-0003-2630-6879"},"institutions":[{"id":"https://openalex.org/I4210102241","display_name":"University of Information Science","ror":"https://ror.org/022camr20","country_code":"CU","type":"education","lineage":["https://openalex.org/I4210102241"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Reynaldo Rosado","raw_affiliation_strings":["Universidad de las Ciencias Informaticas (UCI), La Habana, Cuba"],"raw_orcid":"https://orcid.org/0000-0003-2630-6879","affiliations":[{"raw_affiliation_string":"Universidad de las Ciencias Informaticas (UCI), La Habana, Cuba","institution_ids":["https://openalex.org/I4210102241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032878949","display_name":"Aldis Joan Abreu","orcid":"https://orcid.org/0000-0001-6476-5596"},"institutions":[{"id":"https://openalex.org/I4210102241","display_name":"University of Information Science","ror":"https://ror.org/022camr20","country_code":"CU","type":"education","lineage":["https://openalex.org/I4210102241"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Aldis Joan Abreu","raw_affiliation_strings":["Universidad de las Ciencias Informaticas (UCI), La Habana, Cuba"],"raw_orcid":"https://orcid.org/0000-0001-6476-5596","affiliations":[{"raw_affiliation_string":"Universidad de las Ciencias Informaticas (UCI), La Habana, Cuba","institution_ids":["https://openalex.org/I4210102241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060935072","display_name":"Jos\u00e9 C. Arencibia","orcid":"https://orcid.org/0000-0003-2416-4061"},"institutions":[{"id":"https://openalex.org/I4210102241","display_name":"University of Information Science","ror":"https://ror.org/022camr20","country_code":"CU","type":"education","lineage":["https://openalex.org/I4210102241"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 C. Arencibia","raw_affiliation_strings":["Universidad de las Ciencias Informaticas (UCI), La Habana, Cuba"],"raw_orcid":"https://orcid.org/0000-0003-2416-4061","affiliations":[{"raw_affiliation_string":"Universidad de las Ciencias Informaticas (UCI), La Habana, Cuba","institution_ids":["https://openalex.org/I4210102241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025157051","display_name":"H\u00e9ctor Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-7601-4201"},"institutions":[{"id":"https://openalex.org/I4210102241","display_name":"University of Information Science","ror":"https://ror.org/022camr20","country_code":"CU","type":"education","lineage":["https://openalex.org/I4210102241"]}],"countries":["CU"],"is_corresponding":true,"raw_author_name":"Hector Gonzalez","raw_affiliation_strings":["Universidad de las Ciencias Informaticas (UCI), La Habana, Cuba"],"raw_orcid":"https://orcid.org/0000-0002-7601-4201","affiliations":[{"raw_affiliation_string":"Universidad de las Ciencias Informaticas (UCI), La Habana, Cuba","institution_ids":["https://openalex.org/I4210102241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113106943","display_name":"Yanio Hernandez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102241","display_name":"University of Information Science","ror":"https://ror.org/022camr20","country_code":"CU","type":"education","lineage":["https://openalex.org/I4210102241"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Yanio Hernandez","raw_affiliation_strings":["Universidad de las Ciencias Informaticas (UCI), La Habana, Cuba"],"raw_orcid":"https://orcid.org/0000-0001-9433-5511","affiliations":[{"raw_affiliation_string":"Universidad de las Ciencias Informaticas (UCI), La Habana, Cuba","institution_ids":["https://openalex.org/I4210102241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025157051"],"corresponding_institution_ids":["https://openalex.org/I4210102241"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.6902,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85387726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9994000196456909,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7991839647293091},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.7280239462852478},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6022210717201233},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5837042331695557},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4807429313659668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4698091149330139},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4657493531703949},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4582672715187073},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4296319782733917},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.422995924949646},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.41860896348953247},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4158611297607422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3365980386734009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991839647293091},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.7280239462852478},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6022210717201233},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5837042331695557},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4807429313659668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4698091149330139},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4657493531703949},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4582672715187073},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4296319782733917},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.422995924949646},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.41860896348953247},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4158611297607422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3365980386734009},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-89691-1_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-89691-1_4","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":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1565746575","https://openalex.org/W1924770834","https://openalex.org/W1973385097","https://openalex.org/W2016589492","https://openalex.org/W2049736842","https://openalex.org/W2313953460","https://openalex.org/W2905083307","https://openalex.org/W2907336874","https://openalex.org/W3005535583","https://openalex.org/W3005971554","https://openalex.org/W3022643593","https://openalex.org/W3040547346","https://openalex.org/W3042248080","https://openalex.org/W3109365969","https://openalex.org/W3132782787","https://openalex.org/W3157175643","https://openalex.org/W3159529154","https://openalex.org/W4292081285","https://openalex.org/W6912200766"],"related_works":["https://openalex.org/W2049578243","https://openalex.org/W1828158523","https://openalex.org/W2122079181","https://openalex.org/W2000145235","https://openalex.org/W1985848810","https://openalex.org/W2889939530","https://openalex.org/W2399195672","https://openalex.org/W3121881699","https://openalex.org/W2748838164","https://openalex.org/W2066015000"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}