{"id":"https://openalex.org/W4206290226","doi":"https://doi.org/10.5753/sbrc.2021.16745","title":"Resumo de Grandes Volumes de Dados com Filtro de Bloom: Uma Abordagem Eficiente para Aprendizado Profundo com Redes Neurais Convolucionais em Fluxos de Rede","display_name":"Resumo de Grandes Volumes de Dados com Filtro de Bloom: Uma Abordagem Eficiente para Aprendizado Profundo com Redes Neurais Convolucionais em Fluxos de Rede","publication_year":2021,"publication_date":"2021-08-16","ids":{"openalex":"https://openalex.org/W4206290226","doi":"https://doi.org/10.5753/sbrc.2021.16745"},"language":"pt","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.5753/sbrc.2021.16745","pdf_url":"https://sol.sbc.org.br/index.php/sbrc/article/download/16745/16587","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://sol.sbc.org.br/index.php/sbrc/article/download/16745/16587","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025235658","display_name":"Martin Andreoni Lopez","orcid":"https://orcid.org/0000-0002-4170-4341"},"institutions":[{"id":"https://openalex.org/I4210087059","display_name":"Technology Innovation Institute","ror":"https://ror.org/001kv2y39","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210087059"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Martin Andreoni Lopez","raw_affiliation_strings":["Technology Innovation Institute (TII) Abu Dhabi -Emirados \u00c1rabes Unidos"],"affiliations":[{"raw_affiliation_string":"Technology Innovation Institute (TII) Abu Dhabi -Emirados \u00c1rabes Unidos","institution_ids":["https://openalex.org/I4210087059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076412136","display_name":"Diogo M. F. Mattos","orcid":"https://orcid.org/0000-0002-1279-7366"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Diogo M. F. Mattos","raw_affiliation_strings":["LabGen/M\u00eddiaCom -TET/PPGEET/UFF Universidade Federal Fluminense (UFF) Niter\u00f3i, RJ -Brasil"],"affiliations":[{"raw_affiliation_string":"LabGen/M\u00eddiaCom -TET/PPGEET/UFF Universidade Federal Fluminense (UFF) Niter\u00f3i, RJ -Brasil","institution_ids":["https://openalex.org/I161127581"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.559,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.768257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":67,"max":72},"biblio":{"volume":null,"issue":null,"first_page":"532","last_page":"545"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.9762,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14347","display_name":"Big Data and Digital Economy","score":0.9762,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9745,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9599,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61786234}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.5753/sbrc.2021.16745","pdf_url":"https://sol.sbc.org.br/index.php/sbrc/article/download/16745/16587","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.5753/sbrc.2021.16745","pdf_url":"https://sol.sbc.org.br/index.php/sbrc/article/download/16745/16587","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W2162734706","https://openalex.org/W2565516711","https://openalex.org/W2566425973","https://openalex.org/W2586630065","https://openalex.org/W2765719629","https://openalex.org/W2782220218","https://openalex.org/W2883778034","https://openalex.org/W2887492447","https://openalex.org/W2899235912","https://openalex.org/W2946704785","https://openalex.org/W2959224760","https://openalex.org/W2965481252","https://openalex.org/W2998784361","https://openalex.org/W3005641848","https://openalex.org/W3035734344","https://openalex.org/W3043103359","https://openalex.org/W3095358217","https://openalex.org/W3099358007","https://openalex.org/W3102091066","https://openalex.org/W3110682008","https://openalex.org/W3124863924","https://openalex.org/W4214795349"],"related_works":["https://openalex.org/W4402327032","https://openalex.org/W4396701345","https://openalex.org/W4396696052","https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2382290278","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Este":[0],"artigo":[1,39,82],"prop\u00f5e":[2],"a":[3,10,17,34,52,85,106,121,154,160,163],"aplica\u00e7\u00e3o":[4,107],"de":[5,7,12,14,19,24,31,47,56,62,87,90,93,98,101,103,117,128,139,142,145,147],"\ufb01ltros":[6,102,157],"Bloom":[8],"para":[9,51],"gera\u00e7\u00e3o":[11,35],"resumos":[13],"dados":[15,94,140],"bidimensionais":[16],"partir":[18],"\ufb02uxos":[20,99,116],"em":[21,95,115,126],"uma":[22,65,88,96],"janela":[23,97],"uso":[25],"da":[26,67,124],"rede":[27,48],"formando":[28],"um":[29,137,143],"mapa":[30,55,61],"bits.":[32,57],"Ap\u00f3s":[33],"dos":[36,156],"resumos,":[37],"o":[38,41],"aplica":[40],"aprendizado":[42,109,166],"profundo,":[43],"composto":[44],"por":[45,74],"camadas":[46],"neural":[49],"convolucional,":[50],"segmenta\u00e7\u00e3o":[53,59],"do":[54,60,81,108,165],"A":[58,132],"bits":[63],"\u00e9":[64,71,134],"tarefa":[66],"vis\u00e3o":[68],"computacional":[69],"que":[70],"e\ufb01cientemente":[72],"provida":[73],"redes":[75,112,118],"neurais":[76,113],"convolucionais.":[77],"As":[78],"principais":[79],"contribui\u00e7\u00f5es":[80],"s\u00e3o":[83],"(i)":[84],"proposta":[86,125,133],"t\u00e9cnica":[89],"resumo":[91],"bidimensional":[92],"atrav\u00e9s":[100],"Bloom;":[104],"(ii)":[105],"profundo":[110,167],"com":[111,168],"convolucionais":[114],"e":[119,150,159],"(iii)":[120],"execu\u00e7\u00e3o":[122],"otimizada":[123],"unidades":[127],"processamento":[129],"gr\u00e1\ufb01co":[130],"(GPU).":[131],"avaliada":[135],"sobre":[136],"conjunto":[138],"real":[141],"provedor":[144],"acesso":[146],"banda":[148],"larga":[149],"os":[151],"resultados":[152],"demonstram":[153],"e\ufb01ci\u00eancia":[155],"usados":[158],"precis\u00e3o":[161],"superior":[162],"0,90":[164],"treinamento":[169],"incremental.":[170]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4206290226","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2024-12-09T20:28:11.716556","created_date":"2022-01-26"}