{"id":"https://openalex.org/W2783151135","doi":"https://doi.org/10.1109/bigdata.2017.8258213","title":"A time series classification-based approach for solar flare prediction","display_name":"A time series classification-based approach for solar flare prediction","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2783151135","doi":"https://doi.org/10.1109/bigdata.2017.8258213","mag":"2783151135"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"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/A5050715780","display_name":"Shah Muhammad Hamdi","orcid":"https://orcid.org/0000-0002-9303-7835"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shah Muhammad Hamdi","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014142286","display_name":"Dustin Kempton","orcid":"https://orcid.org/0000-0002-1837-8365"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dustin Kempton","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064065006","display_name":"Ruizhe Ma","orcid":"https://orcid.org/0000-0003-2749-3063"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruizhe Ma","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010973892","display_name":"Souka\u00efna Filali Boubrahimi","orcid":"https://orcid.org/0000-0001-5693-6383"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soukaina Filali Boubrahimi","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009847987","display_name":"Rafal A. Angryk","orcid":"https://orcid.org/0000-0001-9598-8207"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rafal A. Angryk","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181565077"],"apc_list":null,"apc_paid":null,"fwci":14.8961,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.99241557,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2543","last_page":"2551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10251","display_name":"Solar and Space Plasma Dynamics","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10251","display_name":"Solar and Space Plasma Dynamics","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9697999954223633,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7137960195541382},{"id":"https://openalex.org/keywords/solar-flare","display_name":"Solar flare","score":0.7054210901260376},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.6737350821495056},{"id":"https://openalex.org/keywords/flare","display_name":"Flare","score":0.6162459254264832},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5976881384849548},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5188339948654175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4988369941711426},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.49169832468032837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4529423415660858},{"id":"https://openalex.org/keywords/space-weather","display_name":"Space weather","score":0.44234734773635864},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4106556475162506},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.3923807144165039},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3834160566329956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36586880683898926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36288344860076904},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32764333486557007},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23823469877243042},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.1863320767879486},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.14513665437698364},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06470200419425964},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06299081444740295}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7137960195541382},{"id":"https://openalex.org/C185001636","wikidata":"https://www.wikidata.org/wiki/Q119830","display_name":"Solar flare","level":2,"score":0.7054210901260376},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6737350821495056},{"id":"https://openalex.org/C2779588948","wikidata":"https://www.wikidata.org/wiki/Q628261","display_name":"Flare","level":2,"score":0.6162459254264832},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5976881384849548},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5188339948654175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4988369941711426},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.49169832468032837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4529423415660858},{"id":"https://openalex.org/C151325931","wikidata":"https://www.wikidata.org/wiki/Q584093","display_name":"Space weather","level":2,"score":0.44234734773635864},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4106556475162506},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3923807144165039},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3834160566329956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36586880683898926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36288344860076904},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32764333486557007},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23823469877243042},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.1863320767879486},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.14513665437698364},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06470200419425964},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06299081444740295},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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:10.1109/bigdata.2017.8258213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W140867740","https://openalex.org/W1601301711","https://openalex.org/W2010544740","https://openalex.org/W2012079387","https://openalex.org/W2020865809","https://openalex.org/W2029038480","https://openalex.org/W2033298186","https://openalex.org/W2033706575","https://openalex.org/W2045177275","https://openalex.org/W2055916162","https://openalex.org/W2069132043","https://openalex.org/W2085108230","https://openalex.org/W2093586470","https://openalex.org/W2102042772","https://openalex.org/W2110362175","https://openalex.org/W2114822526","https://openalex.org/W2122111042","https://openalex.org/W2140190241","https://openalex.org/W2156301828","https://openalex.org/W2549449189","https://openalex.org/W2591123938","https://openalex.org/W3101267322","https://openalex.org/W3102688741","https://openalex.org/W3102780218","https://openalex.org/W6605731719","https://openalex.org/W6655570370"],"related_works":["https://openalex.org/W2104143565","https://openalex.org/W1529285236","https://openalex.org/W2027190773","https://openalex.org/W1976886998","https://openalex.org/W3174659840","https://openalex.org/W1649705128","https://openalex.org/W161133865","https://openalex.org/W2058519743","https://openalex.org/W2033757218","https://openalex.org/W3103473462"],"abstract_inverted_index":{"Solar":[0],"flare":[1,37,77],"prediction":[2,19,38,78],"is":[3],"an":[4],"important":[5],"task":[6,20],"because":[7],"of":[8,69,85,105,119,128,136],"their":[9],"potential":[10],"impacts":[11],"on":[12,36,40,81,101],"both":[13],"space":[14,54],"and":[15,30,43,74],"terrestrial":[16],"infrastructure.":[17],"This":[18],"can":[21],"be":[22],"modeled":[23],"as":[24],"a":[25,76,98,106,125,133],"binary":[26],"classification":[27,84,95],"between":[28],"flaring":[29,42],"non-flaring":[31,44],"Active":[32,45,59,71,108,121,139],"Regions.":[33],"Previous":[34],"works":[35],"focused":[39],"representing":[41],"Region":[46,60,72,109,122],"examples":[47],"in":[48],"vector":[49],"space,":[50],"where":[51],"the":[52,58,82,86,102,117,137],"feature":[53],"was":[55],"found":[56],"from":[57],"magnetic":[61],"field":[62],"parameters.":[63],"We":[64,90],"extract":[65],"time":[66,88,103,143],"series":[67,104],"samples":[68],"these":[70],"parameters":[73,123],"present":[75,132],"method":[79],"based":[80],"k-NN":[83],"univariate":[87],"series.":[89,144],"find":[91],"that,":[92],"for":[93],"our":[94],"task,":[96],"using":[97,141],"statistical":[99],"summarization":[100],"single":[107,126],"parameter,":[110],"called":[111],"total":[112],"unsigned":[113],"current":[114],"helicity,":[115],"outperforms":[116],"use":[118],"all":[120],"at":[124],"instant":[127],"time.":[129],"Additionally,":[130],"we":[131],"data":[134],"model":[135],"flaring/non-flaring":[138],"Regions":[140],"multivariate":[142]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}