{"id":2941,"date":"2024-10-24T15:33:37","date_gmt":"2024-10-24T13:33:37","guid":{"rendered":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/?p=2941"},"modified":"2024-10-24T16:17:31","modified_gmt":"2024-10-24T14:17:31","slug":"foula-vagena-graph-based-data-science-opportunities-challenges-and-techniques","status":"publish","type":"post","link":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/foula-vagena-graph-based-data-science-opportunities-challenges-and-techniques\/","title":{"rendered":"Foula Vagena – Graph Based Data Science: Opportunities Challenges and Techniques"},"content":{"rendered":"

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Foula Vagena<\/strong>
January 19, 4pm
online (zoom)<\/span><\/p>\n

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Abstract<\/strong><\/h3>\n

Graph based data science lets us leverage the power of relationships and structure in data to improve model prediction and answer previously intractable questions. In this tutorial we will first introduce the graph as a versatile data representation and summarize the different analytics tasks that can be performed over graph structured data. We will go on to detail the different ML\/AI tasks that become possible by leveraging using the graph structure of data and describe recent relevant algorithms and techniques. The tutorial will conclude with a demonstration of exploratory analysis over graph data followed by an illustrative link prediction example.<\/p>\n

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Dr Foula Vagena
(Universit\u00e9 Paris Cit\u00e9, diiP)
Zografoula Vagena is a research associate at the Data Intelligence Institute of Paris (diiP) and affiliated with the Universit\u00e9 Paris Cit\u00e9. She has been a data science researcher and practitioner for over ten years. She has worked on different analytics problems including forecasting, image processing, graph analytics, multidimensional data analysis, text processing, recommendation systems, sequential data analysis and optimization within various fields such as transportation, healthcare, retail, finance\/insurance and accounting. She has also performed research in the intersection of data management and analytics, and was a primary contributor of the MCDB\/SimSQL systems that blended data management with Bayesian statistics. She holds a PhD in data management from the University of California, Riverside.
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Click the image to see slide<\/em><\/p>\n

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Other seminars
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Foula VagenaJanuary 19, 4pmonline (zoom)  Abstract Graph based data science lets us leverage the power of relationships and structure in data to improve model prediction and answer previously intractable questions. In this tutorial we will first introduce the graph as a versatile data representation and summarize the different analytics tasks that can be performed over… Lire la suite Foula Vagena – Graph Based Data Science: Opportunities Challenges and Techniques<\/span><\/a><\/p>\n","protected":false},"author":560,"featured_media":2946,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[55,1,67],"tags":[],"class_list":["post-2941","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-55","category-diip","category-seminars-hands-on-workshops"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/2941","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/560"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=2941"}],"version-history":[{"count":7,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/2941\/revisions"}],"predecessor-version":[{"id":3083,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/2941\/revisions\/3083"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/2946"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=2941"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=2941"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=2941"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}