{"id":217,"date":"2010-12-27T10:57:31","date_gmt":"2010-12-27T09:57:31","guid":{"rendered":"http:\/\/dbdmg.polito.it\/wordpress\/?page_id=217"},"modified":"2022-02-03T09:18:44","modified_gmt":"2022-02-03T08:18:44","slug":"data-mining-concepts-and-algorithms","status":"publish","type":"page","link":"https:\/\/dbdmg.polito.it\/wordpress\/teaching\/data-mining-concepts-and-algorithms\/","title":{"rendered":"Data mining: concepts and algorithms"},"content":{"rendered":"<h2>Lecturer<\/h2>\n<ul>\n<li>Danilo Giordano (email: name dot surname at polito dot it)<\/li>\n<\/ul>\n<h2>Lectures<\/h2>\n<ul>\n<li>Introduction to the course and introduction to Data Science, overview of data mining approaches\n<ul>\n<li>Mon, Jan 11, 2021 14:30-17:30 &#8211; Virtual Classroom<\/li>\n<\/ul>\n<\/li>\n<li>Association Rules: Introduction, Algorithms and Performance metrics\n<ul>\n<li>Thu, Jan 14, 2021 14:30-17:30 &#8211; Virtual Classroom<\/li>\n<\/ul>\n<\/li>\n<li>Classification, supervised learning: Introduction and Algorithms\n<ul>\n<li>Mon, Jan 18, 2021 14:30-17:30 &#8211; Virtual Classroom<\/li>\n<\/ul>\n<\/li>\n<li>Classification, supervised learning: Algorithms, Validation and Performance metrics\n<ul>\n<li>Thu, Jan 21, 2021 14:30-17:30 &#8211; Virtual Classroom<\/li>\n<\/ul>\n<\/li>\n<li>Clustering, unsupervised learning: Introduction, Algorithms and Performance metrics\n<ul>\n<li>Mon, Jan 25, 2021 14:30-17:30 &#8211; Virtual Classroom<\/li>\n<\/ul>\n<\/li>\n<li>Seminar on: Big Data and Advanced Machine Learning techniques\n<ul>\n<li>Thu, Jan 28, 2021 14:30-17:30 &#8211; Virtual Classroom<\/li>\n<\/ul>\n<\/li>\n<li>Hands on the data with RapidMiner and <strong>Exam<\/strong>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Mon, Feb 01, 2021 14:30-16:30 &#8211; Virtual Classroom<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!-- - <a href=\"http:\/\/www.labinf.polito.it\/\">LABINF<\/a> (<a href=\"http:\/\/www.labinf.polito.it\/materiale\/Posizione_nuovo_labinf.pdf\">map)<\/a><\/li>\n\n\n--><\/li>\n<\/ul>\n<p>Given the COVID-19 emergency the entire course will be given online by using Politecnico Virtual Classroom.<br \/>\nFor the exam, as in the past years, it consists in a data analysis task by using RapidMiner plus an oral exam about the data analysis results and the course program.<\/p>\n<p><span style=\"background-color: #ffff00;\">Please be sure to download and install RapidMiner on your computer before the exam day. The free version is sufficient for the exam. <\/span><\/p>\n<p>The latest RapidMiner Studio is available for download from:\u00a0<a href=\"https:\/\/rapidminer.com\/educational-program\/\">https:\/\/rapidminer.com\/educational-program\/<\/a> (you can apply for the educational licence).<\/p>\n<p><!--Please make sure you have an account on the LABINF PCs before the last lecture<\/span> (lab practice). It is *not* the account you use to log in to the PCs in the other LAIB labs. You can register an account at <a href=\"http:\/\/www.labinf.polito.it\/\">LABINF<\/a> (<a href=\"http:\/\/www.labinf.polito.it\/materiale\/Posizione_nuovo_labinf.pdf\">map)<\/a> every day from <strong>2pm<\/strong> to<strong> 3pm<\/strong>. Student card and Certification of enrolment are needed. Specify that you are enrolled in the \"Data mining: concepts and algorithms\" course (check the <a href=\"http:\/\/www.labinf.polito.it\/contatti.html\" target=\"_blank\" rel=\"noopener noreferrer\">Labinf \u00a0website<\/a>\u00a0 for further details).--><\/p>\n<h2>Slides<\/h2>\n<ul>\n<li>Data mining: Introduction (<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2018\/02\/12-DMintro_6x.pdf\">6 slides per page<\/a>,<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2018\/02\/12-DMintro_2x.pdf\">2 slides per page<\/a>)<\/li>\n<li>Data mining: Preprocessing (<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2010\/12\/2-DMPreProc-x6.pdf\">6 slides per page<\/a>,<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2010\/12\/2-DMPreProc-x2.pdf\">2 slides per page<\/a>)\n<ul>\n<li>Summary Lecture 1 (<a href=\"https:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/Recap_Lecture1.pdf\">Summary Lecture 1<\/a>)<\/li>\n<\/ul>\n<\/li>\n<li>Association Rules (<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2010\/12\/3-DMassrules-x6.pdf\">6 slides per page<\/a>,<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2010\/12\/3-DMassrules-x2.pdf\">2 slides per page<\/a>)\n<ul>\n<li>Summary Lecture 2 (<a href=\"https:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/Recap_Lecture2.pdf\">Summary Lecture 2<\/a>)<\/li>\n<\/ul>\n<\/li>\n<li>Classification (<a href=\"https:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/3-DMClassification-x6.pdf\">6 slides per page<\/a>, <a href=\"https:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/3-DMClassification-x2.pdf\">2 slides per page<\/a>)<\/li>\n<ul>\n<li>Summary Lecture 3 (<a href=\"https:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/Recap_Lecture3.pdf\">Summary Lecture 3<\/a>)<\/li>\n<li>Summary Lecture 4 (<a href=\"https:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/Recap_Lecture4.pdf\">Summary Lecture 4<\/a>)<\/li>\n<\/ul>\n<li>Clustering (<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/Clustering-x6.pdf\">6 slides per page<\/a>,<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/Clustering-x2.pdf\">2 slides per page<\/a>)<\/li>\n<li>Introduction to Big Data (<a href=\"https:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/01_Intro_BigData_6x.pdf\">6 slides per page<\/a>,<a href=\"https:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/01_Intro_BigData_2x.pdf\">2 slides per page<\/a>)<\/li>\n<li>Introduction to Advanced Machine Learning techniques (<a href=\"https:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/Advanced-ML-x6.pdf\">6 slides per page<\/a>, <a href=\"https:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2021\/01\/Advanced-ML-x2.pdf\">2 slides per page<\/a>)<\/li>\n<\/ul>\n<h2>Practice<\/h2>\n<ul>\n<li>Data mining \u2013 <a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2018\/12\/DataMiningEN.pdf\">Practice Text (new)<\/a>\n<ul><!--\n \t\n\n<li>SSE script (<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2015\/09\/sse.txt\">download<\/a>)<\/li>\n\n\n--><\/ul>\n<\/li>\n<li>Dataset:\u00a0<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2013\/10\/Users.xls\">Users<\/a><\/li>\n<li>RapidMiner version 5.0 is available at the LABINF PCs &#8211; Manual: <a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2010\/12\/rapidminer-5.0-manual-english_v1.0.pdf\">download<\/a>\n<ul>\n<li>Introduction to RapidMiner: <a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2010\/12\/Rapidminer_x2.pdf\">2 slides per page<\/a>,\u00a0<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2010\/12\/Rapidminer_x3.pdf\">3 slides per page<\/a>,\u00a0<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2010\/12\/Rapidminer_x6.pdf\">6 slides per page<\/a><\/li>\n<\/ul>\n<\/li>\n<li>The latest RapidMiner Studio is available for download from:\u00a0<a href=\"https:\/\/rapidminer.com\/educational-program\/\">https:\/\/rapidminer.com\/educational-program\/<\/a> (you can apply for the educational licence)<\/li>\n<\/ul>\n<h3 class=\"r\">Resources<\/h3>\n<ul>\n<li class=\"r\">DatasetsUCI.zip (<a href=\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2020\/01\/DatasetsUCI.zip\">download<\/a>)<\/li>\n<li class=\"r\"><a href=\"https:\/\/archive.ics.uci.edu\/ml\/datasets.html\">UCI Machine Learning Repository<\/a><\/li>\n<\/ul>\n<p>&nbsp;<br \/>\n&nbsp;<\/p>\n<br class=\"fixfloat\" \/>","protected":false},"excerpt":{"rendered":"<p>Lecturer Danilo Giordano (email: name dot surname at polito dot it) Lectures Introduction to the course and introduction to Data Science, overview of data mining approaches Mon, Jan 11, 2021 14:30-17:30 &#8211; Virtual Classroom Association Rules: Introduction, Algorithms and Performance metrics Thu, Jan 14, 2021 14:30-17:30 &#8211; Virtual Classroom Classification, supervised learning: Introduction and Algorithms<a href=\"https:\/\/dbdmg.polito.it\/wordpress\/teaching\/data-mining-concepts-and-algorithms\/\">[&#8230;]<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":96,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-217","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/dbdmg.polito.it\/wordpress\/wp-json\/wp\/v2\/pages\/217","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dbdmg.polito.it\/wordpress\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dbdmg.polito.it\/wordpress\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dbdmg.polito.it\/wordpress\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dbdmg.polito.it\/wordpress\/wp-json\/wp\/v2\/comments?post=217"}],"version-history":[{"count":100,"href":"https:\/\/dbdmg.polito.it\/wordpress\/wp-json\/wp\/v2\/pages\/217\/revisions"}],"predecessor-version":[{"id":18363,"href":"https:\/\/dbdmg.polito.it\/wordpress\/wp-json\/wp\/v2\/pages\/217\/revisions\/18363"}],"up":[{"embeddable":true,"href":"https:\/\/dbdmg.polito.it\/wordpress\/wp-json\/wp\/v2\/pages\/96"}],"wp:attachment":[{"href":"https:\/\/dbdmg.polito.it\/wordpress\/wp-json\/wp\/v2\/media?parent=217"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}