学术报告通知: Big Data, an introduction

时间：2014年11月13日上午10：00

地点：第六教学楼二层学术报告厅

主讲人：Françoise Soulié Fogelman

题目：Big Data, an introduction

主讲人简介：

  Françoise Soulié Fogelman is currently an independent consultant and a Scientific Advisor to the TeraLab Big Data Platform. She is in charge of Big Data at the ANR Scientific Committee (Agence Nationale de la Recherche), a member of the jury for Big Data in Concours Mondial de l’Innovation and an expert for the European Commission.

  Previously she was Vice President for Innovation at KXEN, working with Product Development, and established, and taught courses for KXEN’s University Program. Prior to KXEN, she directed the first French research team on Neural Networks at Paris 11 University where she was a computer science professor; then co-founded Mimetics, a start-up on neural network technology; then headed the Data Mining and CRM group at service companies (Atos Origin and Business & Decision). She holds a Master’s degree in Mathematics from école Normale Supérieure, University of P6 and a Ph.D. in Computer Science from the University of Grenoble. She has been advisor to over 20 doctoral students on data mining. She has also (co)authored 125 scientific publications and 13 books and is regularly an invited speaker to many academic and business events

  Her current research interest is predominantly in data mining and social networks with big data. She is interested in both the theory and the application of such models to various fields: fraud detection and recommender systems in particular.

报告摘要：

  She will first introduce what Big Data is, showing examples of data sources and volumes and discussing why Data Science has become one of the most active software field worldwide.

  She will then show a practical use-case for fraud detection, illustrating the value brought by Big Data. She will present Big Data challenges in terms of the tools we have to handle it, the available architectures and the different software domains a data scientist needs to know. She will finally discuss the example of the Big Data TeraLab platform.

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