{"id":724,"date":"2021-09-08T13:58:21","date_gmt":"2021-09-08T13:58:21","guid":{"rendered":"https:\/\/esi.ac.ma\/formation\/formation-continue\/formation-a-la-carte\/data-mining\/"},"modified":"2021-09-08T13:58:21","modified_gmt":"2021-09-08T13:58:21","slug":"data-mining","status":"publish","type":"page","link":"https:\/\/esi.ac.ma\/en\/formation\/formation-continue\/data-mining\/","title":{"rendered":"Data-Mining"},"content":{"rendered":"<p>[vc_row][vc_column][vc_custom_heading text=&#8221;Objectifs&#8221; google_fonts=&#8221;font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal&#8221;][vc_column_text]<\/p>\n<ul>\n<li>Comprendre les principes et les objectifs du Data Mining.<\/li>\n<li>\u00c9tudier les principales m\u00e9thodes descriptives et pr\u00e9dictives.<\/li>\n<li>Pr\u00e9senter les champs d\u2019application du Data Mining.<\/li>\n<li>Mettre en \u0153uvre sur un cas d\u2019\u00e9tude.<\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_custom_heading text=&#8221;Contenu&#8221; google_fonts=&#8221;font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal&#8221;][vc_row_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_custom_heading text=&#8221;Introduction au Data Mining&#8221; font_container=&#8221;tag:h4|text_align:left&#8221; google_fonts=&#8221;font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal&#8221;][vc_column_text]<\/p>\n<ul>\n<li>Syst\u00e8me d\u2019Information D\u00e9cisionnel<\/li>\n<li>Positionnement par rapport \u00e0 la statistique<\/li>\n<li>M\u00e9thodes d\u2019apprentissage<\/li>\n<li>Conduite de Projet Data Mining<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_custom_heading text=&#8221;Techniques de Data Mining&#8221; font_container=&#8221;tag:h4|text_align:left&#8221; google_fonts=&#8221;font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal&#8221;][vc_column_text]<\/p>\n<ul>\n<li>Arbres de d\u00e9cision<\/li>\n<li>R\u00e9gression lin\u00e9aire simple et multiple<\/li>\n<li>Induction de r\u00e8gles<\/li>\n<li>Bootstrap et r\u00e9\u00e9chantillonnage<\/li>\n<li>M\u00e9thode des k plus proches voisins \u2013 KNN<\/li>\n<li>M\u00e9thode des centres mobiles \u2013 K-Means<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_custom_heading text=&#8221;Applications du Data Mining&#8221; font_container=&#8221;tag:h4|text_align:left&#8221; google_fonts=&#8221;font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal&#8221;][vc_column_text]<\/p>\n<ul>\n<li>Segmentation de march\u00e9<\/li>\n<li>Pr\u00e9diction de vente<\/li>\n<li>Fid\u00e9lisation client<\/li>\n<li>Analyse de texte<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_custom_heading text=&#8221;Objectifs&#8221; google_fonts=&#8221;font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal&#8221;][vc_column_text] Comprendre les principes et les objectifs du Data Mining. \u00c9tudier les principales m\u00e9thodes descriptives et pr\u00e9dictives. Pr\u00e9senter les champs d\u2019application du Data Mining. Mettre en \u0153uvre sur un cas d\u2019\u00e9tude. [\/vc_column_text][vc_custom_heading text=&#8221;Contenu&#8221; google_fonts=&#8221;font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal&#8221;][vc_row_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_custom_heading text=&#8221;Introduction au Data Mining&#8221; font_container=&#8221;tag:h4|text_align:left&#8221; google_fonts=&#8221;font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal&#8221;][vc_column_text] Syst\u00e8me d\u2019Information D\u00e9cisionnel Positionnement par rapport \u00e0 la statistique M\u00e9thodes d\u2019apprentissage Conduite [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":706,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-724","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/esi.ac.ma\/en\/wp-json\/wp\/v2\/pages\/724","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/esi.ac.ma\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/esi.ac.ma\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/esi.ac.ma\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/esi.ac.ma\/en\/wp-json\/wp\/v2\/comments?post=724"}],"version-history":[{"count":0,"href":"https:\/\/esi.ac.ma\/en\/wp-json\/wp\/v2\/pages\/724\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/esi.ac.ma\/en\/wp-json\/wp\/v2\/pages\/706"}],"wp:attachment":[{"href":"https:\/\/esi.ac.ma\/en\/wp-json\/wp\/v2\/media?parent=724"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}