{"id":"https://openalex.org/W3101202978","doi":"https://doi.org/10.1007/978-3-030-63836-8_44","title":"A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features","display_name":"A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3101202978","doi":"https://doi.org/10.1007/978-3-030-63836-8_44","mag":"3101202978"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-63836-8_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-63836-8_44","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/A5100783480","display_name":"Tianyi Chen","orcid":"https://orcid.org/0009-0000-7982-1642"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tianyi Chen","raw_affiliation_strings":["Zhejiang University City College, Hangzhou, 310015, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University City College, Hangzhou, 310015, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037349726","display_name":"Canghong Jin","orcid":"https://orcid.org/0000-0002-9774-9688"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Canghong Jin","raw_affiliation_strings":["Zhejiang University City College, Hangzhou, 310015, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University City College, Hangzhou, 310015, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051356338","display_name":"Tengran Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tengran Dong","raw_affiliation_strings":["Zhejiang University City College, Hangzhou, 310015, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University City College, Hangzhou, 310015, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018630444","display_name":"Dongkai Chen","orcid":"https://orcid.org/0000-0002-9248-5265"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongkai Chen","raw_affiliation_strings":["Dartmouth College, Hanover, NH, 03755, USA"],"affiliations":[{"raw_affiliation_string":"Dartmouth College, Hanover, NH, 03755, USA","institution_ids":["https://openalex.org/I107672454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100783480"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3693,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58371501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"532","last_page":"543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9894999861717224,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.7868900299072266},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.7793086767196655},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.6827842593193054},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6379910111427307},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.6307874917984009},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6145132780075073},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5573588013648987},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5048821568489075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4950946867465973},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48498889803886414},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45485925674438477},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4330994486808777},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3804417550563812},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.17456531524658203},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11474472284317017},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10339990258216858},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07931625843048096},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.07263582944869995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7868900299072266},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.7793086767196655},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.6827842593193054},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6379910111427307},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.6307874917984009},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6145132780075073},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5573588013648987},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5048821568489075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4950946867465973},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48498889803886414},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45485925674438477},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4330994486808777},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3804417550563812},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.17456531524658203},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11474472284317017},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10339990258216858},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07931625843048096},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.07263582944869995},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-63836-8_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-63836-8_44","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":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2339826836","https://openalex.org/W2519091744","https://openalex.org/W2532798634","https://openalex.org/W2550143307","https://openalex.org/W2572939427","https://openalex.org/W2588485880","https://openalex.org/W2626778328","https://openalex.org/W2784435047","https://openalex.org/W2805334022","https://openalex.org/W2808955427","https://openalex.org/W2895979207","https://openalex.org/W2902455138","https://openalex.org/W2909877301","https://openalex.org/W2911236994","https://openalex.org/W2911757280","https://openalex.org/W2954731415","https://openalex.org/W2963076818","https://openalex.org/W2963853051","https://openalex.org/W2970631142","https://openalex.org/W2989888807","https://openalex.org/W2990233129","https://openalex.org/W2990556314","https://openalex.org/W2998056598","https://openalex.org/W3028004669","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W1982721348","https://openalex.org/W1493644805","https://openalex.org/W2371489490","https://openalex.org/W2130417215","https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2146461990","https://openalex.org/W4312309719"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}