{"id":116,"date":"2016-05-31T20:42:05","date_gmt":"2016-05-31T20:42:05","guid":{"rendered":"http:\/\/pages.di.unipi.it\/datamod\/?page_id=116"},"modified":"2017-04-02T15:58:41","modified_gmt":"2017-04-02T15:58:41","slug":"datamod-program","status":"publish","type":"page","link":"https:\/\/pages.di.unipi.it\/datamod\/datamod-program\/","title":{"rendered":"[2016] DataMod Program"},"content":{"rendered":"

Download the DataMod 2016 Program<\/a> in PDF format and DataMod 2016 Pre-proceedings<\/a> as a comprehensive volume. Individual papers can be downloaded through the links below.<\/p>\n

9:00 – 9:20\u00a0 Welcome<\/strong><\/p>\n

9:20 – 10:10 – Invited Talk – Mirco Musolesi<\/strong>
\n\u201cMining Big (and Small) Mobile Data for Social Good\u201d (abstract and bio<\/a>)
\n10:10 – 10:30 – Questions and Panel Discussion<\/strong><\/p>\n

10:30 – 11:00 – Coffee Break<\/strong><\/p>\n

11:00 – 11:30<\/strong> – Riccardo Guidotti, Giulio Rossetti and Dino Pedreschi. \u201cAudio Ergo Sum: A Personal Data Model For Musical Preferences\u201d (paper<\/a>)
\n11:30 – 12:00<\/strong> – Mohamed Aymen, Ben Hajkacem, Chiheb Eddine Ben N’Cir and Nadia Essoussi. \u201cAn Accelerated MapReduce-based K-prototypes for Big Data\u201d (paper<\/a>)
\n12:00 – 12:30<\/strong> – Antonio Cerone. \u201cRefinement Mining: Using Data to Sift Plausible Models\u201d (paper<\/a>)
\n12:30 – 13:00<\/strong> – Daniel Reijsbergen. \u201cProbabilistic Modelling of Station Locations in Bicycle-Sharing Systems\u201d (paper<\/a>)<\/p>\n

13:00 – 14:00 – Lunch<\/strong><\/p>\n

14:00 – 14:50 – Invited Talk – Emanuela Merelli<\/strong>
\n\u201cThe Topological Field Theory of Data: a program towards a novel strategy for data mining through data language\u201d (abstract and bio<\/a>)
\n14:50 – 15:10 – Questions and Panel Discussion<\/strong>
\n15:10 – 15:30<\/strong> – Nieves Atienza, Rocio Gonzalez-Diaz and Matteo Rucco. \u201cSeparating Topological Noise from Features using Persistent Entropy\u201d (paper<\/a>)<\/p>\n

15:30 – 16:00 – Coffee Break<\/strong><\/p>\n

16:00 – 16:30<\/strong> – Giovanni Pardini and Paolo Milazzo.\u201d A High-Level Model Checking Language with Compile-time Pruning of Local Variables\u201d (paper<\/a>)
\n16:30 – 16:50<\/strong> – Martyn Ellison, Radu Calinescu and Richard Paige. \u201cTowards Platform Independent Database Modelling in Enterprise Systems\u201d (paper<\/a>)
\n16:50 – 17:50 – Panel Discussion and Closing<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Download the DataMod 2016 Program in PDF format and DataMod 2016 Pre-proceedings as a comprehensive volume. Individual papers can be downloaded through the links below. 9:00 – 9:20\u00a0 Welcome 9:20 – 10:10 – Invited Talk – Mirco Musolesi \u201cMining Big (and Small) Mobile Data for Social Good\u201d (abstract and bio) 10:10 – 10:30 – Questions […]<\/a><\/p>\n","protected":false},"author":12,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-116","page","type-page","status-publish","hentry","post-seq-1","post-parity-odd","meta-position-corners","fix"],"_links":{"self":[{"href":"https:\/\/pages.di.unipi.it\/datamod\/wp-json\/wp\/v2\/pages\/116","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.di.unipi.it\/datamod\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pages.di.unipi.it\/datamod\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/datamod\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/datamod\/wp-json\/wp\/v2\/comments?post=116"}],"version-history":[{"count":24,"href":"https:\/\/pages.di.unipi.it\/datamod\/wp-json\/wp\/v2\/pages\/116\/revisions"}],"predecessor-version":[{"id":204,"href":"https:\/\/pages.di.unipi.it\/datamod\/wp-json\/wp\/v2\/pages\/116\/revisions\/204"}],"wp:attachment":[{"href":"https:\/\/pages.di.unipi.it\/datamod\/wp-json\/wp\/v2\/media?parent=116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}