{"id":20,"date":"2019-05-26T11:35:06","date_gmt":"2019-05-26T09:35:06","guid":{"rendered":"https:\/\/project.dke.maastrichtuniversity.nl\/datamining\/?page_id=20"},"modified":"2019-06-27T12:12:54","modified_gmt":"2019-06-27T10:12:54","slug":"program","status":"publish","type":"page","link":"https:\/\/project.dke.maastrichtuniversity.nl\/datamining\/?page_id=20","title":{"rendered":"Program"},"content":{"rendered":"\n
26 June <\/strong> <\/td>\n \n <\/td><\/tr>
\n \n <\/td>\n \n <\/td><\/tr>
08:30 \u2013 09:00 <\/td>\n Registration<\/strong> \n <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
09:00 \u2013 11:00 <\/td>Lecture 1. <\/strong>Intro to Data Science; Classical Statistical Inference; Regression:  James-Stein Estimation and Ridge Regression, The Jackknife and the Bootstrap, Bootstrap Confidence Intervals, Sparse Modeling and the Lasso.<\/a><\/em> <\/a>
Answers<\/strong><\/a><\/td><\/tr>
\n \n <\/td>Lecturer<\/strong>: Dr. Christof Seliler<\/em> <\/td><\/tr>
\n                \n \n <\/td>\n  \n <\/td><\/tr>
11:00 \u2013 11:30 <\/td>Coffee Break <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
11:30 \u2013 13:00 <\/td>Lab 1.<\/strong> Regression in R<\/a><\/em> <\/a> <\/td><\/tr>
\n \n <\/td>Lecturer:<\/strong> Dr. Christof Seliler<\/em> <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
13:00 \u2013 14:00 <\/td>Lunch Break <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
14:00 \u2013 16:00 <\/td>Lecture 2.<\/strong> Classification: Decision Trees, Nearest Neighbour Classification,  Logistic Regression, and Support Vector Machines<\/a><\/em> <\/td><\/tr>
\n \n <\/td>Lecturer:<\/strong> Dr.ir. Kurt Driessens<\/em> <\/td><\/tr>
\n                \n \n <\/td>\n  \n <\/td><\/tr>
16:00 \u2013 16:15 <\/td>Coffee Break <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
16:15 \u2013 17:45 <\/td>Lab 2.<\/strong> Classification and Overfitting in Weka<\/a><\/em>
Answers<\/strong><\/a><\/td><\/tr>
\n \n <\/td>Lecturer:<\/strong> Dr.ir. Kurt Driessens<\/em> <\/td><\/tr>
\n                \n \n <\/td>\n  \n <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
27 June <\/strong> <\/td>\n \n <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
09:00 \u2013 11:00 <\/td>Lecture 3.<\/strong> Clustering:  k-means, Hierarchical Clustering, DBSCAN, and Validation<\/em> [ppt<\/a>, pdf<\/a>]<\/td><\/tr>
\n \n <\/td>Lecturer: <\/strong>Dr. Jerry Spanakis<\/em> <\/td><\/tr>
\n                \n \n <\/td>\n  \n <\/td><\/tr>
11:00 \u2013 11:30 <\/td>Coffee Break <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
11:30 \u2013 13:00 <\/td>Lab 3.<\/strong> Clustering in Weka<\/a><\/em>
Weka and Data for Lab 3<\/a><\/td><\/tr>
\n \n <\/td>Lecturer: <\/strong>Dr. Jerry Spanakis<\/em> <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
13:00 \u2013 14:00 <\/td>Lunch Break <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
14:00 \u2013 16:00 <\/td>Lecture 4. <\/strong> Validation of Supervised Models: Hold-out Validation, Cross Validation, ROC Analysis; Feature Selection: Filters, Wrappers, Embedded Methods<\/a><\/em> <\/a> <\/td><\/tr>
\n \n <\/td>Lecturer: <\/strong>Dr. Enrique Hortal <\/em> <\/td><\/tr>
\n                \n \n <\/td>\n  \n <\/td><\/tr>
16:00 \u2013 16:15 <\/td>Coffee Break <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
16:15 \u2013 17:45 <\/td>Lab 4.<\/strong> Validation of Supervised Models and Feature Selection in Weka<\/a><\/em>
Data<\/a><\/td><\/tr>
\n   \n <\/td>Lecturer: <\/strong>Dr. Enrique Hortal<\/em> <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
28 June <\/strong> <\/td>\n \n <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
09:00 \u2013 11:00 <\/td>Lecture 5.<\/strong> Association Rule Mining: Apriori, Frequent Item Mining, Rule Generation <\/a><\/em> <\/td><\/tr>
\n \n <\/td>Lecturer:<\/strong> Dr. Mirela Popa<\/em> <\/td><\/tr>
\n                \n \n <\/td>\n  \n <\/td><\/tr>
\n 11:00 \u2013 11:30     \n <\/td>Coffee Break <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
11:30 \u2013 13:00     <\/td>Lab 5.<\/strong> Association rule mining<\/a><\/em>    Data<\/a><\/td><\/tr>
\n  \n <\/td>Lecturer:<\/strong> Dr. Evgueni Smirnov <\/em> <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
13:00 \u2013 14:30     <\/td>Lunch Break <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
14:30 \u2013 16:00 <\/td>Lecture 6.<\/strong> Deep Learning: Classical Feedforward Neural Nets, Convolutional Neural Networks, Regularization, Recurrent Neural networks, and GANs <\/em> <\/td><\/tr>
\n \n <\/td>Lecturer: <\/strong>Dr. Siamak Mehrkanoon<\/em> <\/td><\/tr>
\n                \n \n <\/td>\n  \n <\/td><\/tr>
16:00 \u2013 16:15     <\/td>Coffee Break <\/td><\/tr>
\n  \n <\/td>\n  \n <\/td><\/tr>
16:15 \u2013 17:45     <\/td>Lab 6.<\/strong> Deep Learning in Python<\/em> <\/td><\/tr>
\n \n <\/td>Lecturer: <\/strong>Dr. Siamak Mehrkanoon<\/em> <\/td><\/tr><\/tbody><\/table>\n","protected":false},"excerpt":{"rendered":"

26 June 08:30 \u2013 09:00 Registration     09:00 \u2013 11:00 Lecture 1. Intro to Data Science; Classical Statistical Inference; Regression:  James-Stein Estimation and Ridge Regression, The Jackknife and the Bootstrap, Bootstrap Confidence Intervals, Sparse Modeling and the Lasso. Answers Lecturer: Dr. Christof Seliler                   11:00 \u2013 11:30 Coffee Break     11:30 \u2013 … <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-20","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.dke.maastrichtuniversity.nl\/datamining\/index.php?rest_route=\/wp\/v2\/pages\/20","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.dke.maastrichtuniversity.nl\/datamining\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.dke.maastrichtuniversity.nl\/datamining\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.dke.maastrichtuniversity.nl\/datamining\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/project.dke.maastrichtuniversity.nl\/datamining\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=20"}],"version-history":[{"count":41,"href":"https:\/\/project.dke.maastrichtuniversity.nl\/datamining\/index.php?rest_route=\/wp\/v2\/pages\/20\/revisions"}],"predecessor-version":[{"id":204,"href":"https:\/\/project.dke.maastrichtuniversity.nl\/datamining\/index.php?rest_route=\/wp\/v2\/pages\/20\/revisions\/204"}],"wp:attachment":[{"href":"https:\/\/project.dke.maastrichtuniversity.nl\/datamining\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=20"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}