{"id":92,"date":"2015-03-09T12:57:51","date_gmt":"2015-03-09T16:57:51","guid":{"rendered":"https:\/\/labcompctcptl.ufms.br\/?p=92"},"modified":"2021-09-19T13:04:35","modified_gmt":"2021-09-19T17:04:35","slug":"artigo-sobre-selecao-interativa-de-atributos-e-publicado-no-periodico-pattern-recognition-letters","status":"publish","type":"post","link":"https:\/\/labcompctcptl.ufms.br\/en\/artigo-sobre-selecao-interativa-de-atributos-e-publicado-no-periodico-pattern-recognition-letters\/","title":{"rendered":"ARTIGO SOBRE SELE\u00c7\u00c3O INTERATIVA DE ATRIBUTOS \u00c9 PUBLICADO NO PERI\u00d3DICO PATTERN RECOGNITION LETTERS."},"content":{"rendered":"<div class=\"row\">\n<div class=\"col-md-6 col-sm-6\">\n<div class=\"description\">\n<p>Sele\u00e7\u00e3o de atributos permite melhorar a efic\u00e1cia de v\u00e1rios algoritmos de aprendizado de m\u00e1quina, principalmente em aplica\u00e7\u00f5es envolvendo minera\u00e7\u00e3o de dados e textos. No artigo Interactive textual feature selection for consensus clustering \u00e9 apresentada e avaliada uma estrat\u00e9gia de sele\u00e7\u00e3o interativa de atributos, ou seja, que permite que humanos participem fornecendo feedback no processo. O diferencial da proposta \u00e9 minimizar o n\u00famero de consultas aos humanos durante a sele\u00e7\u00e3o de atributos e, ao mesmo tempo, maximizar a qualidade do aprendizado. O algoritmo foi avaliado em consenso de agrupamentos, uma tarefa que viabiliza a organiza\u00e7\u00e3o autom\u00e1tica de objetos em grupos de acordo com a similaridade entre os objetos.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<div class=\"row\">\n<div class=\"col-md-6 col-sm-6\">\n<div class=\"description\">\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Mais detalhes:\u00a0 <a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167865514002827\">http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167865514002827<\/a><\/p>\n<\/div>\n<div id=\"shr_canvas1\" class=\"shareaholic-canvas shareaholic-resolved-canvas shareaholic-ui\" data-app=\"share_buttons\" data-app-id=\"15768578\">\n<div class=\"shareaholic-share-buttons-container shareaholic-ui shr-no-print shareaholic-flat shareaholic- shareaholic- shareaholic-top-counter shareaholic- shareaholic-right-align shareaholic-right-align shareaholic-flat shareaholic-top-counter \">\n<div class=\"shareaholic-share-buttons-wrapper shareaholic-ui \">\n<div class=\"shareaholic-share-buttons-animation-wrapper \">\n<div class=\"shareaholic-share-button-container shr-outline\" role=\"button\" aria-label=\"Share to LinkedIn\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Sele\u00e7\u00e3o de atributos permite melhorar a efic\u00e1cia de v\u00e1rios algoritmos de aprendizado de m\u00e1quina, principalmente em aplica\u00e7\u00f5es envolvendo minera\u00e7\u00e3o de dados e textos. No artigo Interactive textual feature selection for consensus clustering \u00e9 apresentada e avaliada uma estrat\u00e9gia de sele\u00e7\u00e3o interativa de atributos, ou seja, que permite que humanos participem fornecendo feedback no processo. O [&hellip;]<\/p>\n","protected":false},"author":12330,"featured_media":93,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,2],"tags":[],"coauthors":[],"class_list":["post-92","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-destaques","category-noticias"],"_links":{"self":[{"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/posts\/92","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/users\/12330"}],"replies":[{"embeddable":true,"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/comments?post=92"}],"version-history":[{"count":5,"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/posts\/92\/revisions"}],"predecessor-version":[{"id":101,"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/posts\/92\/revisions\/101"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/media\/93"}],"wp:attachment":[{"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/media?parent=92"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/categories?post=92"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/tags?post=92"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/labcompctcptl.ufms.br\/en\/wp-json\/wp\/v2\/coauthors?post=92"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}