{"id":"https://openalex.org/W2942553695","doi":"https://doi.org/10.3233/his-190262","title":"Flow graphs as data structures for inducing classifiers","display_name":"Flow graphs as data structures for inducing classifiers","publication_year":2019,"publication_date":"2019-04-30","ids":{"openalex":"https://openalex.org/W2942553695","doi":"https://doi.org/10.3233/his-190262","mag":"2942553695"},"language":"en","primary_location":{"id":"doi:10.3233/his-190262","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-190262","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hybrid Intelligent Systems","raw_type":"journal-article"},"type":"article","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/A5059556411","display_name":"Maria do Carmo Nicoletti","orcid":"https://orcid.org/0000-0003-4528-7984"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]},{"id":"https://openalex.org/I4210160347","display_name":"ThyssenKrupp (Brazil)","ror":"https://ror.org/04y0ypp13","country_code":"BR","type":"company","lineage":["https://openalex.org/I4210160347","https://openalex.org/I71830129"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Maria do Carmo Nicoletti","raw_affiliation_strings":["Centro Universit\u00e1rio C. Limpo Paulista","Universidade Federal de S. Carlos","Universidade Federal de S. Carlos, S. Carlos, SP, Brazil","Centro Universit\u00e1rio C. Limpo Paulista, C.L. Paulista, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro Universit\u00e1rio C. Limpo Paulista","institution_ids":["https://openalex.org/I4210160347"]},{"raw_affiliation_string":"Universidade Federal de S. Carlos","institution_ids":["https://openalex.org/I177909021"]},{"raw_affiliation_string":"Universidade Federal de S. Carlos, S. Carlos, SP, Brazil","institution_ids":["https://openalex.org/I177909021"]},{"raw_affiliation_string":"Centro Universit\u00e1rio C. Limpo Paulista, C.L. Paulista, SP, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085858870","display_name":"Emilio Carlos Rodrigues","orcid":null},"institutions":[{"id":"https://openalex.org/I107371206","display_name":"Federal Institute of S\u00e3o Paulo","ror":"https://ror.org/005pn5z34","country_code":"BR","type":"education","lineage":["https://openalex.org/I107371206"]},{"id":"https://openalex.org/I4210088997","display_name":"Santa Casa da Miseric\u00f3rdia de Bragan\u00e7a Paulista","ror":"https://ror.org/008nqpv19","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I4210088997"]},{"id":"https://openalex.org/I4210160347","display_name":"ThyssenKrupp (Brazil)","ror":"https://ror.org/04y0ypp13","country_code":"BR","type":"company","lineage":["https://openalex.org/I4210160347","https://openalex.org/I71830129"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Emilio Carlos Rodrigues","raw_affiliation_strings":["Centro Universit\u00e1rio C. Limpo Paulista","Instituto Federal de S\u00e3o Paulo","Instituto Federal de S\u00e3o Paulo, Bragan\u00e7a Paulista, SP, Brazil","Centro Universit\u00e1rio C. Limpo Paulista, C.L. Paulista, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro Universit\u00e1rio C. Limpo Paulista","institution_ids":["https://openalex.org/I4210160347"]},{"raw_affiliation_string":"Instituto Federal de S\u00e3o Paulo","institution_ids":["https://openalex.org/I107371206"]},{"raw_affiliation_string":"Instituto Federal de S\u00e3o Paulo, Bragan\u00e7a Paulista, SP, Brazil","institution_ids":["https://openalex.org/I4210088997"]},{"raw_affiliation_string":"Centro Universit\u00e1rio C. Limpo Paulista, C.L. Paulista, SP, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059556411"],"corresponding_institution_ids":["https://openalex.org/I177909021","https://openalex.org/I4210160347"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06487928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"2","first_page":"77","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9969000220298767,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.984499990940094,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7885702848434448},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6742498874664307},{"id":"https://openalex.org/keywords/digraph","display_name":"Digraph","score":0.6218246221542358},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.6157140135765076},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6054068207740784},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5550122261047363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5340850353240967},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44852346181869507},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4291597604751587},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42617231607437134},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21657735109329224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13803502917289734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7885702848434448},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6742498874664307},{"id":"https://openalex.org/C2779145032","wikidata":"https://www.wikidata.org/wiki/Q191494","display_name":"Digraph","level":2,"score":0.6218246221542358},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.6157140135765076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6054068207740784},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5550122261047363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5340850353240967},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44852346181869507},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4291597604751587},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42617231607437134},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21657735109329224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13803502917289734},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/his-190262","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-190262","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hybrid Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W32603991","https://openalex.org/W110734221","https://openalex.org/W111452402","https://openalex.org/W1481579063","https://openalex.org/W1482564064","https://openalex.org/W1495288901","https://openalex.org/W1545006711","https://openalex.org/W1545343680","https://openalex.org/W1554663460","https://openalex.org/W1557923305","https://openalex.org/W1559460776","https://openalex.org/W1585743408","https://openalex.org/W1607203124","https://openalex.org/W1657496331","https://openalex.org/W1846199910","https://openalex.org/W1936747996","https://openalex.org/W1940631389","https://openalex.org/W1960786550","https://openalex.org/W1966366162","https://openalex.org/W1992332328","https://openalex.org/W1999075329","https://openalex.org/W2035217144","https://openalex.org/W2040745298","https://openalex.org/W2081690588","https://openalex.org/W2097994458","https://openalex.org/W2118220773","https://openalex.org/W2122410182","https://openalex.org/W2123301443","https://openalex.org/W2127637733","https://openalex.org/W2136000097","https://openalex.org/W2143451122","https://openalex.org/W2144047887","https://openalex.org/W2149596792","https://openalex.org/W2149706766","https://openalex.org/W2158307450","https://openalex.org/W2159856483","https://openalex.org/W2340020088","https://openalex.org/W2590535875","https://openalex.org/W2752853835","https://openalex.org/W2789638151","https://openalex.org/W2890630055","https://openalex.org/W2923131623","https://openalex.org/W3090840004","https://openalex.org/W4213060883","https://openalex.org/W4232953319","https://openalex.org/W4234760406","https://openalex.org/W4236137412","https://openalex.org/W4285719527","https://openalex.org/W6601327117","https://openalex.org/W6604517001","https://openalex.org/W6604588029","https://openalex.org/W6628908584","https://openalex.org/W6633260312","https://openalex.org/W6635046684","https://openalex.org/W6638753503","https://openalex.org/W6641365948","https://openalex.org/W6670653374","https://openalex.org/W6734155042","https://openalex.org/W6754781895"],"related_works":["https://openalex.org/W125190552","https://openalex.org/W2997511728","https://openalex.org/W4214653893","https://openalex.org/W2149097950","https://openalex.org/W3124731355","https://openalex.org/W3036853918","https://openalex.org/W3211372245","https://openalex.org/W2505282017","https://openalex.org/W3013263334","https://openalex.org/W2995276271"],"abstract_inverted_index":{"This":[0],"paper":[1,85],"describes":[2],"an":[3],"empirical":[4],"research":[5],"work":[6,81],"based":[7],"on":[8,139,154],"the":[9,61,69,76,140,156,163,170,173,177,180,188],"use":[10],"of":[11,60,71,78,114,158,172],"a":[12,25,36,43,58,95,115,119,126],"suitable":[13,96],"data":[14,28],"structure,":[15],"named":[16,130],"Flow":[17,133],"Graph":[18],"(FG),":[19],"that":[20,41,67],"can":[21,32,53],"be":[22,33,55],"induced":[23,164,199],"from":[24,143,176],"supervised":[26,45],"training":[27,46,65],"set.":[29],"A":[30],"FG":[31],"approached":[34],"as":[35,57,91,167,169],"weighted":[37],"and":[38,88,102,147,187,209],"labeled":[39],"digraph":[40],"summarizes":[42],"given":[44],"set,":[47],"aiming":[48,74],"at":[49,75],"its":[50,104],"analysis.":[51],"FGs":[52,87],"also":[54],"used":[56,186],"repository":[59],"information":[62],"embedded":[63],"in":[64,83,125],"sets,":[66],"supports":[68],"extraction":[70],"classification":[72,189],"rules,":[73],"definition":[77],"classifiers.":[79],"The":[80,111],"described":[82],"this":[84],"reviews":[86],"related":[89],"concepts,":[90],"originally":[92],"proposed":[93],"i.e.,":[94],"structure":[97,166],"for":[98,106],"modeling":[99],"discrete":[100],"data,":[101],"proposes":[103],"customization":[105,112],"dealing":[107],"with":[108,137,152,162,194],"continuous":[109],"data.":[110],"consists":[113],"pre-processing":[116],"step":[117],"where":[118],"discretization":[120],"process":[121],"is":[122],"carried":[123],"out":[124],"two-step":[127],"hybrid":[128],"approach":[129],"HFG":[131],"(Hybrid":[132],"Graph).":[134],"Several":[135],"experiments":[136,181],"focus":[138,153],"classifiers":[141,198],"extracted":[142,175],"HFGs":[144],"were":[145,150,185,191],"conducted":[146],"their":[148],"results":[149,190],"analyzed":[151,193],"both,":[155],"value":[157],"some":[159],"metrics":[160],"associated":[161],"digraph-based":[165],"well":[168],"performance":[171],"classifier":[174],"structure.":[178],"For":[179],"19":[182],"diversified":[183],"datasets":[184],"comparatively":[192],"those":[195],"obtained":[196],"by":[197],"using":[200],"four":[201],"other":[202],"algorithms":[203],"namely,":[204],"J48,":[205],"Na\u00efve":[206],"Bayes,":[207],"k-Nearest-Neighbor":[208],"Support":[210],"Vector":[211],"Machine.":[212]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
