{"id":"https://openalex.org/W2256024099","doi":null,"title":"Neural networks forecasting and classification-based techniques for novelty detection in time series","display_name":"Neural networks forecasting and classification-based techniques for novelty detection in time series","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2256024099","mag":"2256024099"},"language":"en","primary_location":{"id":"pmh:oai:americanae.aecid.es:2279878","doi":null,"is_oa":true,"landing_page_url":"https://repositorio.ufpe.br/handle/123456789/1825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400786","display_name":"Americanae (AECID Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da UFPE","raw_type":"info:eu-repo/semantics/doctoralThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repositorio.ufpe.br/handle/123456789/1825","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100615438","display_name":"Adriano L. I. Oliveira","orcid":"https://orcid.org/0000-0002-5614-229X","observed_orcids":["https://orcid.org/0000-0002-5614-229X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Adriano L. I. Oliveira","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100615438"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9804999828338623,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9804999828338623,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.01360000018030405,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/novelty-detection","display_name":"novelty detection","score":0.9860000014305115},{"id":"https://openalex.org/keywords/time-series","display_name":"time series","score":0.9679999947547913},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7960000038146973},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.6869999766349792},{"id":"https://openalex.org/keywords/limited-training-data","display_name":"limited training data","score":0.421999990940094},{"id":"https://openalex.org/keywords/fraud-detection","display_name":"fraud detection","score":0.6679999828338623},{"id":"https://openalex.org/keywords/financial-fraud","display_name":"financial fraud","score":0.5770000219345093},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.42500001192092896},{"id":"https://openalex.org/keywords/neural-network-ensembles","display_name":"neural network ensembles","score":0.36399999260902405},{"id":"https://openalex.org/keywords/neural-network-pruning","display_name":"neural network pruning","score":0.34200000762939453}],"concepts":[{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.910746157169342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6838058233261108},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6761783957481384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6640164852142334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.629200279712677},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6164182424545288},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5819143652915955},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4753006398677826},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4554649293422699},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4253205955028534},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4023013114929199},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:americanae.aecid.es:2279878","doi":null,"is_oa":true,"landing_page_url":"https://repositorio.ufpe.br/handle/123456789/1825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400786","display_name":"Americanae (AECID Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da UFPE","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"pmh:oai:repositorio.ufpe.br:123456789/1825","doi":null,"is_oa":true,"landing_page_url":"https://repositorio.ufpe.br/handle/123456789/1825","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"instacron:UFPE","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"mag:2256024099","doi":null,"is_oa":false,"landing_page_url":"https://repositorio.ufpe.br/bitstream/123456789/1825/1/arquivo4525_1.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:americanae.aecid.es:2279878","doi":null,"is_oa":true,"landing_page_url":"https://repositorio.ufpe.br/handle/123456789/1825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400786","display_name":"Americanae (AECID Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da UFPE","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W44899684","https://openalex.org/W123141597","https://openalex.org/W128886786","https://openalex.org/W165043962","https://openalex.org/W174845226","https://openalex.org/W1492924807","https://openalex.org/W1495929206","https://openalex.org/W1498436455","https://openalex.org/W1510073064","https://openalex.org/W1512748702","https://openalex.org/W1544324307","https://openalex.org/W1545008731","https://openalex.org/W1558675754","https://openalex.org/W1560565598","https://openalex.org/W1563088657","https://openalex.org/W1565702327","https://openalex.org/W1573503290","https://openalex.org/W1586335931","https://openalex.org/W1588012139","https://openalex.org/W1603829043","https://openalex.org/W1663792126","https://openalex.org/W1788497923","https://openalex.org/W1800271513","https://openalex.org/W1806594859","https://openalex.org/W1877810236","https://openalex.org/W1940950237","https://openalex.org/W1983175601","https://openalex.org/W1984271318","https://openalex.org/W1989173802","https://openalex.org/W1995003166","https://openalex.org/W1995341919","https://openalex.org/W1995571198","https://openalex.org/W1999459729","https://openalex.org/W2004417280","https://openalex.org/W2008353316","https://openalex.org/W2016161382","https://openalex.org/W2029949252","https://openalex.org/W2040870580","https://openalex.org/W2045887890","https://openalex.org/W2046372172","https://openalex.org/W2048822829","https://openalex.org/W2067057029","https://openalex.org/W2075132516","https://openalex.org/W2076723282","https://openalex.org/W2079397195","https://openalex.org/W2084812512","https://openalex.org/W2093953062","https://openalex.org/W2101276256","https://openalex.org/W2101938294","https://openalex.org/W2102073628","https://openalex.org/W2103496339","https://openalex.org/W2105497548","https://openalex.org/W2110485445","https://openalex.org/W2112492235","https://openalex.org/W2113062792","https://openalex.org/W2113970724","https://openalex.org/W2116581750","https://openalex.org/W2118276635","https://openalex.org/W2118365046","https://openalex.org/W2123098109","https://openalex.org/W2124290836","https://openalex.org/W2124776405","https://openalex.org/W2126455177","https://openalex.org/W2132549764","https://openalex.org/W2133864802","https://openalex.org/W2134918899","https://openalex.org/W2140251252","https://openalex.org/W2143908786","https://openalex.org/W2146196597","https://openalex.org/W2149562358","https://openalex.org/W2152083167","https://openalex.org/W2152448081","https://openalex.org/W2153477625","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2167196686","https://openalex.org/W2240867762","https://openalex.org/W2313953460","https://openalex.org/W2473746776","https://openalex.org/W2525680869","https://openalex.org/W2798500587","https://openalex.org/W2896916590","https://openalex.org/W2911546748","https://openalex.org/W2975461012","https://openalex.org/W3012317737","https://openalex.org/W3110433926","https://openalex.org/W3121147667","https://openalex.org/W3121926921","https://openalex.org/W4239510810","https://openalex.org/W7097941586"],"related_works":["https://openalex.org/W1560565598","https://openalex.org/W123141597","https://openalex.org/W2028844373","https://openalex.org/W2980681014","https://openalex.org/W2111054010","https://openalex.org/W4231669715","https://openalex.org/W7100463384","https://openalex.org/W2017145914","https://openalex.org/W4307324201","https://openalex.org/W2737980835"],"abstract_inverted_index":{"O":[0,285,331,374],"problema":[1,169],"da":[2,579],"detec\u00e7\u00e3o":[3,34,71,92,209,247],"de":[4,12,21,23,35,44,61,66,68,72,77,91,93,111,121,128,131,137,156,177,181,188,190,210,225,227,239,248,262,265,277,280,294,297,309,329,369,402,405,413,442,459,477,489,504,556,567,582],"novidades":[5,36,94,132,211,249,298,370,460,557],"pode":[6,79],"ser":[7],"definido":[8],"como":[9,46,57,183],"a":[10,145,154,165,323,336,534],"identifica\u00e7\u00e3o":[11],"dados":[13,157,490],"novos":[14],"ou":[15,48],"desconhecidos":[16],"aos":[17,194],"quais":[18],"um":[19,41,168,237],"sistema":[20],"aprendizagem":[22],"m\u00e1quina":[24],"n\u00e3o":[25],"teve":[26],"acesso":[27],"durante":[28],"o":[29,88,175,292,384,419,426,430,450,475,502,520,548,577,589],"treinamento.":[30,403],"Os":[31,253,481,536,565],"algoritmos":[32,51],"para":[33,39,208,246,259,290,316,320,326,365,456,473,539,553],"s\u00e3o":[37,52],"projetados":[38,257],"classificar":[40],"dado":[42],"padr\u00e3o":[43],"entrada":[45],"normal":[47],"novidade.":[49],"Esses":[50],"usados":[53,315,325,544],"em":[54,63,95,109,119,133,141,197,203,212,218,242,250,274,282,300,307,350,362,371,379,389,461,512,531,545,558,562,584],"diversas":[55,337,409],"areas,":[56],"vis\u00e3o":[58],"computacional,":[59],"detec\u00e7\u00e3ao":[60],"falhas":[62],"m\u00e1quinas,":[64],"seguran\u00e7a":[65],"redes":[67,115,243,390,478,505,516],"computadores":[69],"e":[70,118,186,223,341,394,468,494,507,518],"fraudes.":[73],"Um":[74],"grande":[75],"n\u00famero":[76],"sistemas":[78,219,283],"ter":[80],"seu":[81,146],"comportamento":[82],"modelado":[83],"por":[84],"s\u00e9ries":[85,96,112,213,251],"temporais.":[86,125,252,373],"Recentemente":[87],"pro":[89],"oblema":[90],"temporais":[97,113,135,339,411,560],"tem":[98],"recebido":[99],"consider\u00e1vel":[100],"aten\u00e7\u00e3o.":[101],"V\u00e1rias":[102],"t\u00e9cnicas":[103],"foram":[104,205,256,484,542],"propostas,":[105],"incluindo":[106,215],"t\u00e9ecnicas":[107],"baseadas":[108],"previs\u00e3o":[110],"com":[114,229,449,547],"neurais":[116,244,391,479],"artificiais":[117,245,392],"classifica\u00e7\u00e3o":[120,204],"janelas":[122],"das":[123],"s\u00b4eries":[124,134,160,338,372,410,462,559,585],"As":[126],"t\u00b4ecnicas":[127],"detec\u00b8c":[129,260,278,295,327,457,554,580],"ao":[130,139,167,261,271,279,296,314,328,364,368,396,407,436,444,458,555,581],"atrav\u00b4es":[136],"previs":[138,166,198,301,351],"t":[140],"sido":[142],"criticadas":[143],"devido":[144],"desempenho":[147,293,424,431,476,503,514,578],"considerado":[148],"insatisfat\u00b4orio.":[149],"Em":[150],"muitos":[151],"problemas":[152,179],"pr\u00b4aticos,":[153],"quantidade":[155],"dispon\u00b4\u0131veis":[158],"nas":[159],"\u00b4e":[161,174,305,377,387,588],"bastante":[162,272,576],"pequena":[163],"tornando":[164],"ainda":[170],"mais":[171],"complexo.":[172],"Este":[173,303],"caso":[176],"alguns":[178,200],"importantes":[180,273],"auditoria,":[182],"auditoria":[184,187],"cont\u00b4abil":[185],"folhas":[189],"pagamento.":[191],"Como":[192],"alternativa":[193],"m\u00b4etodos":[195,201,216,240,347,360,455,472,482,528,537,573],"baseados":[196,202,217,241,349,361],"ao,":[199],"recentemente":[206],"propostos":[207,255,483,529,538],"temporais,":[214,463,586],"imunol\u00b4ogicos":[220],"artificiais,":[221],"wavelets":[222],"m\u00b4aquinas":[224],"vetor":[226],"suporte":[228],"uma":[230],"\u00b4unica":[231],"classe.":[232],"Esta":[233,353],"tese":[234,354,465,552],"prop":[235,356,466],"oe":[236,357,467],"conjunto":[238,441,546],"m\u00e9todos":[254],"especificamente":[258],"fraudes":[263,281,583],"decorrentes":[264],"desvios":[266],"relativamente":[267],"pequenos,":[268],"que":[269,312,346,383,418,425,447,498,509,515,519,526,571,587],"s":[270,313],"aplica\u00b8c":[275,414],"oes":[276,415],"financeiros.":[284],"primeiro":[286,375,451],"m\u00b4etodo":[287,304,332,376,386,421,434,521,549],"foi":[288,334],"proposto":[289,333,550],"melhorar":[291,474,540],"baseada":[299],"ao.":[302,352],"baseado":[306,378,388,561],"intervalos":[308],"confian\u00b8ca":[310],"robustos,":[311],"definir":[317],"valores":[318],"adequados":[319],"os":[321,495,527],"limiares":[322],"serem":[324],"novidades.":[330],"aplicado":[335],"financeiras":[340],"obteve":[342],"resultados":[343,496,532,566],"bem":[344],"melhores":[345],"anteriores":[348],"tamb\u00b4em":[355,508,543,574],"dois":[358],"diferentes":[359,471],"classifica\u00b8c":[363],"detec":[366],"\u00b8c":[367],"amostras":[380,398,563],"negativas,":[381],"enquanto":[382],"segundo":[385,420,433],"RBFDDA":[393],"n":[395,435],"usa":[397],"negativas":[399],"na":[400],"fase":[401],"Resultados":[404],"simula\u00b8c":[406],"usando":[408,486],"extra\u00b4\u0131das":[412],"reais":[416],"mostraram":[417,497,570],"obt\u00b4em":[422],"melhor":[423,513],"primeiro.":[427],"Al\u00b4em":[428,453,523],"disso,":[429,524],"do":[432,438,440,446,491],"depende":[437],"tamanho":[439],"teste,":[443],"contr\u00b4ario":[445],"acontece":[448],"m\u00b4etodo.":[452],"dos":[454],"esta":[464],"investiga":[469],"quatro":[470],"RBF-DDA.":[480],"avaliados":[485],"seis":[487],"conjuntos":[488],"reposit\u00b4orio":[492],"UCI":[493],"eles":[499,510],"melhoram":[500,575],"consideravelmente":[501],"RBF-DDA":[506,541],"obt":[511,530],"MLP":[517],"AdaBoost.":[522],"mostramos":[525],"similares":[533],"k-NN.":[535],"nesta":[551],"negativas.":[564],"diversos":[568],"experimentos":[569],"esses":[572],"foco":[590],"principal":[591],"desta":[592],"tese.":[593]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}