{"id":"https://openalex.org/W4414538512","doi":"https://doi.org/10.1109/icc52391.2025.11161751","title":"Optimizing Big Data Traffic Prediction Using Generalizations of Choquet Integral with Adaptive Weighting","display_name":"Optimizing Big Data Traffic Prediction Using Generalizations of Choquet Integral with Adaptive Weighting","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414538512","doi":"https://doi.org/10.1109/icc52391.2025.11161751"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5114234346","display_name":"Abreu Quevedo","orcid":null},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Abreu Quevedo","raw_affiliation_strings":["Federal University of Rio Grande,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande,Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114234345","display_name":"Denner Ayres","orcid":null},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Denner Ayres","raw_affiliation_strings":["Federal University of Rio Grande,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande,Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053196020","display_name":"Gra\u00e7aliz Pereira Dimuro","orcid":"https://orcid.org/0000-0001-6986-9888"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gra\u00e7aliz Dimuro","raw_affiliation_strings":["Federal University of Rio Grande,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande,Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048839201","display_name":"Andr\u00e9 Riker","orcid":"https://orcid.org/0000-0002-6594-8893"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Riker","raw_affiliation_strings":["Federal University of Par&#x00E1;,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par&#x00E1;,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031787326","display_name":"Giancarlo Lucca","orcid":"https://orcid.org/0000-0002-3776-0260"},"institutions":[{"id":"https://openalex.org/I110676245","display_name":"Universidade Cat\u00f3lica de Pelotas","ror":"https://ror.org/0376myh60","country_code":"BR","type":"education","lineage":["https://openalex.org/I110676245"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Giancarlo Lucca","raw_affiliation_strings":["Universidade Cat&#x00F3;lica de Pelotas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Cat&#x00F3;lica de Pelotas,Brazil","institution_ids":["https://openalex.org/I110676245"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022197211","display_name":"Bruno L. Dalmazo","orcid":"https://orcid.org/0000-0002-6996-7602"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno L. Dalmazo","raw_affiliation_strings":["Federal University of Rio Grande,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande,Brazil","institution_ids":["https://openalex.org/I126460647"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9246,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87046158,"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":"4872","last_page":"4877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9355000257492065,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9355000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/choquet-integral","display_name":"Choquet integral","score":0.8539000153541565},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6827999949455261},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6069999933242798},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5598999857902527},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5490000247955322},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.515500009059906},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.48260000348091125}],"concepts":[{"id":"https://openalex.org/C112799922","wikidata":"https://www.wikidata.org/wiki/Q5104911","display_name":"Choquet integral","level":3,"score":0.8539000153541565},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6827999949455261},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6069999933242798},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5598999857902527},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.515500009059906},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.48260000348091125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45190000534057617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4074000120162964},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39989998936653137},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.3962000012397766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39329999685287476},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.3677000105381012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33009999990463257},{"id":"https://openalex.org/C176684429","wikidata":"https://www.wikidata.org/wiki/Q1076274","display_name":"Choquet theory","level":5,"score":0.296099990606308},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2784999907016754},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5263589701","display_name":null,"funder_award_id":"24/2551-0001396-2","funder_id":"https://openalex.org/F4320322502","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Rio Grande do Sul"},{"id":"https://openalex.org/G5986352307","display_name":null,"funder_award_id":"23/2551-0000126-8,23/2551-0000773-8","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322502","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Rio Grande do Sul","ror":"https://ror.org/05k49za97"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2033810643","https://openalex.org/W2046917097","https://openalex.org/W2101222264","https://openalex.org/W2122192957","https://openalex.org/W2519532976","https://openalex.org/W2583112748","https://openalex.org/W2797955680","https://openalex.org/W2808392682","https://openalex.org/W2992722551","https://openalex.org/W3021973688","https://openalex.org/W3031979640","https://openalex.org/W3042327455","https://openalex.org/W4299417699","https://openalex.org/W4387872902"],"related_works":[],"abstract_inverted_index":{"Managing":[0],"big":[1],"data":[2],"traffic":[3,36,72],"plays":[4],"an":[5,17],"important":[6],"role":[7],"in":[8,96],"contemporary":[9],"communication":[10],"and":[11,33,69,101,129,141],"is":[12,37,76],"essential":[13],"for":[14],"efficiently":[15],"handling":[16],"unprecedented":[18],"volume":[19],"of":[20,26,47,59,71,98,138],"information.":[21],"In":[22,125],"the":[23,27,29,60,67,83,90,93,104,116,121,146,149,154],"globalized":[24],"context":[25],"internet,":[28],"ability":[30],"to":[31],"measure":[32],"predict":[34],"this":[35],"a":[38,44,53,57,108,134],"strategically":[39],"valuable":[40],"resource":[41],"that":[42,82,103,115],"requires":[43],"deep":[45],"understanding":[46],"historical":[48],"data.":[49],"This":[50],"article":[51],"proposes":[52],"predictor":[54],"based":[55],"on":[56],"generalization":[58],"Choquet":[61,84,150],"integral,":[62],"which":[63],"aggregates":[64],"data,":[65,80],"reducing":[66],"complexity":[68],"dimensionality":[70],"predictions.":[73],"The":[74],"approach":[75],"assessed":[77],"using":[78],"real":[79],"demonstrating":[81],"integral":[85,152],"achieves":[86],"higher":[87],"accuracy":[88],"with":[89],"appropriate$\\alpha$parameter.":[91],"Considering":[92],"worst-case":[94],"scenario":[95],"terms":[97],"wasted":[99],"time,":[100],"given":[102],"overall":[105],"algorithm":[106,119],"achieved":[107],"satisfactory":[109],"error":[110],"rate,":[111],"we":[112],"can":[113],"conclude":[114],"least":[117],"efficient":[118],"was":[120],"brute":[122],"force":[123],"search.":[124],"comparison,":[126],"binary":[127,131],"search":[128,132],"random":[130],"demonstrated":[133],"time":[135],"efficiency":[136],"improvement":[137],"56.75":[139],"%":[140],"59.49":[142],"%,":[143],"respectively.":[144],"Among":[145],"integrals":[147],"evaluated,":[148],"(a)":[151],"yielded":[153],"smallest":[155],"errors.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
