{"id":"https://openalex.org/W2897311713","doi":"https://doi.org/10.1109/cec.2018.8477772","title":"Combining Multiple Views from a Distance Based Feature Extraction for Text Classification","display_name":"Combining Multiple Views from a Distance Based Feature Extraction for Text Classification","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897311713","doi":"https://doi.org/10.1109/cec.2018.8477772","mag":"2897311713"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2018.8477772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","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/A5072557723","display_name":"Charles Henrique Porto Ferreira","orcid":null},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Charles Henrique Porto Ferreira","raw_affiliation_strings":["Universidade Federal do ABC (UFABC), Center of Mathematics, Computing and Cognition (CMCC), Santo Andr\u00e9, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do ABC (UFABC), Center of Mathematics, Computing and Cognition (CMCC), Santo Andr\u00e9, Brazil","institution_ids":["https://openalex.org/I71715416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010769668","display_name":"Fabr\u00edcio Olivetti de Fran\u00e7a","orcid":"https://orcid.org/0000-0002-2741-8736"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fabricio Olivetti De Franca","raw_affiliation_strings":["Universidade Federal do ABC (UFABC), Center of Mathematics, Computing and Cognition (CMCC), Santo Andr\u00e9, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do ABC (UFABC), Center of Mathematics, Computing and Cognition (CMCC), Santo Andr\u00e9, Brazil","institution_ids":["https://openalex.org/I71715416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072875238","display_name":"Debora R. Medeiros","orcid":null},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Debora R. Medeiros","raw_affiliation_strings":["Universidade Federal do ABC (UFABC), Center of Mathematics, Computing and Cognition (CMCC), Santo Andr\u00e9, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do ABC (UFABC), Center of Mathematics, Computing and Cognition (CMCC), Santo Andr\u00e9, Brazil","institution_ids":["https://openalex.org/I71715416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71715416"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9972000122070312,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9972000122070312,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/feature-extraction","display_name":"Feature extraction","score":0.7559325098991394},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.755407452583313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7495517134666443},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6815121173858643},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6683513522148132},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6367592811584473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311969757080078},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5679635405540466},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5327005386352539},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5308540463447571},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4432033598423004},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42417973279953003},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07124119997024536}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7559325098991394},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.755407452583313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495517134666443},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6815121173858643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6683513522148132},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6367592811584473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311969757080078},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5679635405540466},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5327005386352539},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5308540463447571},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4432033598423004},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42417973279953003},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07124119997024536},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2018.8477772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320319190","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W38739846","https://openalex.org/W152976317","https://openalex.org/W196879948","https://openalex.org/W1426199569","https://openalex.org/W1481507845","https://openalex.org/W1532325895","https://openalex.org/W1570448133","https://openalex.org/W1915139526","https://openalex.org/W1974339500","https://openalex.org/W1981039744","https://openalex.org/W1999635750","https://openalex.org/W2000117996","https://openalex.org/W2013208103","https://openalex.org/W2028424170","https://openalex.org/W2074435087","https://openalex.org/W2079656678","https://openalex.org/W2097571405","https://openalex.org/W2098162425","https://openalex.org/W2100854689","https://openalex.org/W2103333826","https://openalex.org/W2108150588","https://openalex.org/W2133564696","https://openalex.org/W2134090438","https://openalex.org/W2154053567","https://openalex.org/W2156909104","https://openalex.org/W2210472625","https://openalex.org/W2250086655","https://openalex.org/W2418258728","https://openalex.org/W2441795274","https://openalex.org/W2466516015","https://openalex.org/W2559719762","https://openalex.org/W2590019597","https://openalex.org/W2602655087","https://openalex.org/W2608327158","https://openalex.org/W2611929813","https://openalex.org/W2772326905","https://openalex.org/W2783405355","https://openalex.org/W2998216295","https://openalex.org/W4213009331","https://openalex.org/W4256669726","https://openalex.org/W4285719527","https://openalex.org/W6601528862","https://openalex.org/W6606218174","https://openalex.org/W6628653597","https://openalex.org/W6675969814","https://openalex.org/W6679434410","https://openalex.org/W6736971926","https://openalex.org/W6746520234","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W20047544","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Text":[0],"Mining":[1],"is":[2,113,117,149],"a":[3,11,54,78,86,95],"challenging":[4],"task":[5],"due":[6],"to":[7,32,53,131],"the":[8,16,21,41,66,75,108,115,126,143,150,156],"lack":[9],"of":[10,40,48,68,77,111,142,145,152],"naturally":[12],"structured":[13],"representation":[14],"and":[15,134,147],"high":[17],"dimensionality":[18,116],"induced":[19],"by":[20,119],"feature":[22,28,79,88,99,136],"extraction":[23,80,89],"techniques":[24],"commonly":[25],"used.":[26],"Different":[27],"extractions":[29],"can":[30,36,51],"lead":[31,52],"multiple":[33,87],"views":[34],"that":[35,107,114],"capture":[37],"different":[38],"aspects":[39],"text":[42,91],"documents":[43,92],"being":[44],"analyzed.":[45],"The":[46,104],"combination":[47],"these":[49],"features":[50,158],"better":[55],"accuracy":[56,128],"in":[57,65],"classification":[58,127],"tasks":[59],"but,":[60],"also,":[61],"an":[62],"undesirable":[63],"increase":[64],"number":[67],"features.":[69],"In":[70],"this":[71],"work,":[72],"we":[73],"investigate":[74],"use":[76,144],"technique":[81],"called":[82,102],"DCDistance":[83,133,146],"used":[84],"as":[85,155],"for":[90],"combined":[93],"with":[94],"Genetic":[96],"Algorithm":[97],"based":[98],"selection,":[100],"hereby":[101],"MVDCD.":[103],"results":[105],"show":[106],"main":[109],"advantage":[110],"MVDCD":[112,148],"reduced":[118],"more":[120],"than":[121],"90%":[122],"while":[123],"significantly":[124],"increasing":[125],"when":[129],"compared":[130],"vanilla":[132],"other":[135],"selections":[137],"techniques.":[138],"A":[139],"side":[140],"effect":[141],"possibility":[151],"model":[153],"interpretability,":[154],"extracted":[157],"are":[159],"explicit.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}