{"id":3506,"date":"2019-02-01T09:08:50","date_gmt":"2019-02-01T08:08:50","guid":{"rendered":"https:\/\/dyrecta.com\/lab\/?p=3506"},"modified":"2019-02-01T15:00:00","modified_gmt":"2019-02-01T14:00:00","slug":"nuovo-paper-data-mining-sistemi-informativi-reali","status":"publish","type":"post","link":"https:\/\/www.dyrecta.com\/lab\/nuovo-paper-data-mining-sistemi-informativi-reali\/","title":{"rendered":"Nuovo paper scientifico: applicare il Data Mining a sistemi informativi reali"},"content":{"rendered":"<p>Regole di associazione, reti neurali e upgrade del sistema informativo come elementi di guadagno della conoscenza. Seguendo le linee guida del manuale Frascati si \u00e8 ottimizzata la conoscenza di base al fine di applicare il Data Mining a sistemi informativi reali: lo studio \u00e8 un modello di come si applica la Ricerca Industriale e lo Sviluppo Sperimentale, seguendo metodologie scientifiche e partendo da esigenze dell&#8217;industria.     <\/p>\n<p><strong>Keywords<\/strong><br \/>\nFrascati Guideline, Information System Architecture, Data and Information Networks, Knowledge and information processing, Calculus Engine, Association Rules. <\/p>\n<p><strong>Maggiori dettagli<\/strong><br \/>\n<a href=\"http:\/\/aircconline.com\/abstract\/ijaia\/v10n1\/10119ijaia03.html\" target=\"_blank\">http:\/\/aircconline.com\/abstract\/ijaia\/v10n1\/10119ijaia03.html<\/a><br \/>\n<a href=\"http:\/\/aircconline.com\/ijaia\/V10N1\/10119ijaia03.pdf\" target=\"_blank\">http:\/\/aircconline.com\/ijaia\/V10N1\/10119ijaia03.pdf<\/a><br \/>\n<a href=\"http:\/\/www.airccse.org\/journal\/ijaia\/current2019.html\" target=\"_blank\">http:\/\/www.airccse.org\/journal\/ijaia\/current2019.html<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Regole di associazione, reti neurali e upgrade del sistema informativo come elementi di guadagno della conoscenza. Seguendo le linee guida&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[69,42],"tags":[],"_links":{"self":[{"href":"https:\/\/www.dyrecta.com\/lab\/wp-json\/wp\/v2\/posts\/3506"}],"collection":[{"href":"https:\/\/www.dyrecta.com\/lab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dyrecta.com\/lab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dyrecta.com\/lab\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dyrecta.com\/lab\/wp-json\/wp\/v2\/comments?post=3506"}],"version-history":[{"count":6,"href":"https:\/\/www.dyrecta.com\/lab\/wp-json\/wp\/v2\/posts\/3506\/revisions"}],"predecessor-version":[{"id":3509,"href":"https:\/\/www.dyrecta.com\/lab\/wp-json\/wp\/v2\/posts\/3506\/revisions\/3509"}],"wp:attachment":[{"href":"https:\/\/www.dyrecta.com\/lab\/wp-json\/wp\/v2\/media?parent=3506"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dyrecta.com\/lab\/wp-json\/wp\/v2\/categories?post=3506"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dyrecta.com\/lab\/wp-json\/wp\/v2\/tags?post=3506"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}