{"id":"https://openalex.org/W2077551920","doi":"https://doi.org/10.1109/tnnls.2012.2195027","title":"Network-Based High Level Data Classification","display_name":"Network-Based High Level Data Classification","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2077551920","doi":"https://doi.org/10.1109/tnnls.2012.2195027","mag":"2077551920","pmid":"https://pubmed.ncbi.nlm.nih.gov/24806766"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2012.2195027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2012.2195027","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://dx.doi.org/10.1109/TNNLS.2012.2195027","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067950037","display_name":"Thiago Christiano Silva","orcid":"https://orcid.org/0000-0003-2631-4393"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"T. C. Silva","raw_affiliation_strings":["[Department of Computer Science, University of S\u00e3o Paulo, Sao Carlos, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Department of Computer Science, University of S\u00e3o Paulo, Sao Carlos, Brazil]","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697945","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0002-1502-6604"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["[Department of Computer Science, University of S\u00e3o Paulo, Sao Carlos, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Department of Computer Science, University of S\u00e3o Paulo, Sao Carlos, Brazil]","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":10.082,"has_fulltext":false,"cited_by_count":105,"citation_normalized_percentile":{"value":0.97972316,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"23","issue":"6","first_page":"954","last_page":"970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7004121541976929},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5610158443450928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5509181022644043},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5285326838493347},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5125212669372559},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.49476879835128784},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.480937659740448},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47540339827537537},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4512462317943573},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4120522737503052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40699708461761475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004121541976929},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5610158443450928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5509181022644043},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5285326838493347},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5125212669372559},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.49476879835128784},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.480937659740448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47540339827537537},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4512462317943573},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4120522737503052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40699708461761475},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006236","descriptor_name":"Handwriting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006236","descriptor_name":"Handwriting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006236","descriptor_name":"Handwriting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2012.2195027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2012.2195027","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:24806766","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24806766","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:www.producao.usp.br:BDPI/43195","is_oa":false,"landing_page_url":"http://www.producao.usp.br/handle/BDPI/43195","pdf_url":null,"source":{"id":"https://openalex.org/S4306401373","display_name":"Scientific Electronic Library Online (S\u00e3o Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2982035970","host_organization_name":"Costa Rican Department of Social Security","host_organization_lineage":["https://openalex.org/I2982035970"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"article"},{"id":"pmh:002281036","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/TNNLS.2012.2195027","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,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da USP (Biblioteca Digital da Produ\u00e7\u00e3o Intelectual)","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:002281036","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/TNNLS.2012.2195027","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,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da USP (Biblioteca Digital da Produ\u00e7\u00e3o Intelectual)","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W150916163","https://openalex.org/W155855048","https://openalex.org/W289675543","https://openalex.org/W1480376833","https://openalex.org/W1544632947","https://openalex.org/W1562135275","https://openalex.org/W1569512666","https://openalex.org/W1578196132","https://openalex.org/W1663973292","https://openalex.org/W1742512077","https://openalex.org/W1979584682","https://openalex.org/W1994476682","https://openalex.org/W1994807229","https://openalex.org/W2001141328","https://openalex.org/W2009086942","https://openalex.org/W2015005801","https://openalex.org/W2019085114","https://openalex.org/W2027684023","https://openalex.org/W2029173860","https://openalex.org/W2031954969","https://openalex.org/W2033193852","https://openalex.org/W2034647518","https://openalex.org/W2040956707","https://openalex.org/W2048679005","https://openalex.org/W2048933573","https://openalex.org/W2052104835","https://openalex.org/W2082381659","https://openalex.org/W2097470060","https://openalex.org/W2099352187","https://openalex.org/W2106028653","https://openalex.org/W2112090702","https://openalex.org/W2112796928","https://openalex.org/W2114112206","https://openalex.org/W2120189049","https://openalex.org/W2124109413","https://openalex.org/W2124637492","https://openalex.org/W2131736308","https://openalex.org/W2136504847","https://openalex.org/W2137253512","https://openalex.org/W2139906443","https://openalex.org/W2141585940","https://openalex.org/W2143750468","https://openalex.org/W2146611644","https://openalex.org/W2148603752","https://openalex.org/W2152195021","https://openalex.org/W2152814537","https://openalex.org/W2154642048","https://openalex.org/W2160542197","https://openalex.org/W2163040665","https://openalex.org/W2163203678","https://openalex.org/W2165299997","https://openalex.org/W2167973699","https://openalex.org/W2168809519","https://openalex.org/W2170112109","https://openalex.org/W2171033594","https://openalex.org/W2172000360","https://openalex.org/W2382436284","https://openalex.org/W2506508603","https://openalex.org/W3120740533","https://openalex.org/W4230946174","https://openalex.org/W4238452917","https://openalex.org/W4239696231","https://openalex.org/W6606159633","https://openalex.org/W6677742080","https://openalex.org/W6680278043"],"related_works":["https://openalex.org/W2596054022","https://openalex.org/W2371570177","https://openalex.org/W2740479052","https://openalex.org/W1529156857","https://openalex.org/W2168920113","https://openalex.org/W3202881146","https://openalex.org/W3199023014","https://openalex.org/W2357721021","https://openalex.org/W2099660729","https://openalex.org/W3154378092"],"abstract_inverted_index":{"Traditional":[0],"supervised":[1],"data":[2],"classification":[3,59,86,103,168,184,221],"considers":[4,61],"only":[5,63,165],"physical":[6,64,135],"features":[7,116,136],"(e.g.,":[8],"distance":[9],"or":[10,137],"similarity)":[11],"of":[12,19,40,54,92,115,117,146,154,182,203,229,249,254],"the":[13,27,30,51,55,68,106,113,118,123,127,130,141,144,147,151,155,161,171,180,188,195,204,218,235,266],"input":[14,56,124],"data.":[15,57,125,156],"Here,":[16],"this":[17,80],"type":[18],"learning":[20,41],"is":[21,110,176,208,247],"called":[22],"low":[23,36,95],"level":[24,77,96,108,206,220],"classification.":[25,78,213,230],"On":[26],"other":[28],"hand,":[29],"human":[31],"(animal)":[32],"brain":[33],"performs":[34],"both":[35,90],"and":[37,42,252],"high":[38,76,107,205,219],"orders":[39],"it":[43,246,261],"has":[44,222],"facility":[45],"in":[46,226,241,265],"identifying":[47,250],"patterns":[48],"according":[49,169],"to":[50,74,150,170,178,210],"semantic":[52],"meaning":[53],"Data":[58],"that":[60,88,160,217],"not":[62,164],"attributes":[65],"but":[66,174],"also":[67,175],"pattern":[69,152,172,268],"formation":[70,153],"is,":[71],"here,":[72],"referred":[73],"as":[75,187,194],"In":[79],"paper,":[81],"we":[82,232],"propose":[83],"a":[84,200,223,242,259],"hybrid":[85],"technique":[87,163,237],"combines":[89],"types":[91],"learning.":[93],"The":[94],"term":[97,109,207],"can":[98,166,238],"be":[99,239],"implemented":[100],"by":[101,112,133],"any":[102],"technique,":[104],"while":[105,140],"realized":[111],"extraction":[114],"underlying":[119],"network":[120],"constructed":[121],"from":[122],"Thus,":[126],"former":[128],"classifies":[129],"test":[131,148],"instances":[132,149],"their":[134],"class":[138,189],"topologies,":[139],"latter":[142],"measures":[143],"compliance":[145],"Our":[157],"study":[158],"shows":[159],"proposed":[162,236],"realize":[167],"formation,":[173],"able":[177],"improve":[179],"performance":[181],"traditional":[183],"techniques.":[185],"Furthermore,":[186],"configuration's":[190],"complexity":[191],"increases,":[192],"such":[193],"mixture":[196],"among":[197],"different":[198],"classes,":[199],"larger":[201],"portion":[202],"required":[209],"get":[211],"correct":[212],"This":[214],"feature":[215],"confirms":[216],"special":[224],"importance":[225],"complex":[227],"situations":[228],"Finally,":[231],"show":[233],"how":[234],"employed":[240],"real-world":[243],"application,":[244],"where":[245],"capable":[248],"variations":[251],"distortions":[253],"handwritten":[255],"digit":[256],"images.":[257],"As":[258],"result,":[260],"supplies":[262],"an":[263],"improvement":[264],"overall":[267],"recognition":[269],"rate.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
