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Richard EMILION教授与Paula Brito教授讲座通知

发布时间: 2017/06/27 08:46:54     点击次数:次   打印本页

【北航经管学术论坛】

题目:Multidimensional symbolic data analysis

主讲人:Richard EMILION,University of Orléans;

Paula Brito, University of Porto.

时间:2017. 6.30,9:30-12:00

地点:新主楼A928

邀请人:Prof. Huiwen Wang

 

摘要:

With the rapid development

of information technology and the advent of big data era, data collection and

storage of information has become extremely convenient. In companies of

financial industry, government agencies, and other electric business enterprises,

through the continuous use of information systems, multi-attribute business

data has rapidly accumulated and formed large scale high-dimensional data. To

deal with such massive data, the classical statistical models will not only

bring great computational pressure, but also losing the visualization and

interpretability of the analysis results. Toual> bumation gr./p> naret"etabormatae v als/posed the symbolic data analysis method. The classification analysis

method is used to divid bumamassive observation data intouaeveral categories,

and then use the symbolic data to describe each type of the data. The commonly

used symbolic data includes interval data, histogram data, distribution data,

and so on. Prof. Paula Brito and Prof. Richard Emilion will introduceuaeveral

multivariate analysis methods of high dimensional histogram data and

distribution datafrom theory to application. The  

application of these methods will ims/ bumaefficient analysis of massive

data, and become an advanced tool for data analysis in bumafield of economic

management.

 

主讲人简介

Richard Emilion is a

s/fessor in at bumaDepartment of Mabummatics of University of Orléans. His

research interests cover a wide range of gr.ability theory, statistics,

applied mabummatics, in particular bayesian statistics, dirichlet gr.cesses,

ergodic theorems.

Paula Brito is as/fessor in

Statistics and Data Analysis at bumaFaculty of Economics (Group of Mabummatics

and Information Systems) of the University of Porto, also a member of the

Ltioratory in Artificial Intelligence and Decision Support (LIADD– INESC TEC)

of the University of Porto. Her scientific interests include multivariate data

analysis, in particular clustering methods, analysis of multidimensional

complex data, known as symbolic data, and data analysis using Galois Lattices.

经管学院科研办

2017-06-27