{"id":545,"date":"2016-07-17T19:11:06","date_gmt":"2016-07-17T22:11:06","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=545"},"modified":"2016-07-17T19:11:06","modified_gmt":"2016-07-17T22:11:06","slug":"vol9-no3-art3","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no3\/vol9-no3-art3\/","title":{"rendered":"Minera\u00e7\u00e3o de Dados: Uma Introdu\u00e7\u00e3o"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> Minera\u00e7\u00e3o de Dados: Uma Introdu\u00e7\u00e3o<\/p>\n<p><strong>Autores:<\/strong> Coradine, Luis Cl\u00e1udius; Lopes, Roberta Vilhena Vieira; Maciel, Andrilene Ferreira<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Minera\u00e7\u00e3o de dados pode ser visto como um conjunto de m\u00e9todos para fazer infer\u00eancias a partir de dados. Existe uma grande sobreposi\u00e7\u00e3o entre os objetivos da minera\u00e7\u00e3o de dados, e os da estat\u00edstica multivariada. Contudo, existem algumas diferen\u00e7as filos\u00f3ficas e metodol\u00f3gicas importantes. Este breve tutorial busca abordar os principais m\u00e9todos de an\u00e1lise multivariada e de minera\u00e7\u00e3o de dados com crit\u00e9rios de classifica\u00e7\u00e3o. Alem disso, ser\u00e3o abordados os principais m\u00e9todos de an\u00e1lise de agrupamentos e de proje\u00e7\u00e3o, suas caracter\u00edsticas e aplica\u00e7\u00f5es, no escopo de uma revis\u00e3o da literatura.<\/p>\n<p><strong>Palavras-chave:<\/strong> Minera\u00e7\u00e3o de dados; data mining; descoberta de conhecimento em base de dados; knowledge discovery in Databases; KDD; aprendizagem de m\u00e1quinas; machine learning<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 17<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol9-no3-art3\">10.21528\/lmln-vol9-no3-art3<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol9-no3-art3.pdf\" rel=\"\">vol9-no3-art3.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol9-no3-art3.bib\" rel=\"\">vol9-no3-art3.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: Minera\u00e7\u00e3o de Dados: Uma Introdu\u00e7\u00e3o Autores: Coradine, Luis Cl\u00e1udius; Lopes, Roberta Vilhena Vieira; Maciel, Andrilene Ferreira Resumo: Minera\u00e7\u00e3o de dados pode ser visto como um conjunto de m\u00e9todos para fazer infer\u00eancias a partir de dados. Existe uma grande sobreposi\u00e7\u00e3o <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no3\/vol9-no3-art3\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":538,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-545","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Minera\u00e7\u00e3o de Dados: Uma Introdu\u00e7\u00e3o - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no3\/vol9-no3-art3\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Minera\u00e7\u00e3o de Dados: Uma Introdu\u00e7\u00e3o - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Minera\u00e7\u00e3o de Dados: Uma Introdu\u00e7\u00e3o Autores: Coradine, Luis Cl\u00e1udius; Lopes, Roberta Vilhena Vieira; Maciel, Andrilene Ferreira Resumo: Minera\u00e7\u00e3o de dados pode ser visto como um conjunto de m\u00e9todos para fazer infer\u00eancias a partir de dados. 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