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Symmetry restoration and quantum Mpemba effects in chaotic andlocalization sy...
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报告题目:
Applications of Bayesian Networks to Small, Mid-size and Massive Data and an introduction to FuturICT
 报告人:
Ron S. Kenett
Chairman and CEO of the KPA Group, Research Professor, 
University of Torino, Turin, Italy
报告时间:
2012-04-24 10:00
报告地点:
FIT大楼 4-302
主办单位:
计算机科学与技术系
  简介:

Abstract:

Modelling cause and effect relationships has been a major challenge for
statisticians in a wide range of application areas. Bayesian Networks (BN),
Context Statistical Process Control (CSPC),Variable Order Bayesian Networks
(VOBN) and Target-Based Bayesian Networks combine graphical analysis with
Bayesian analysis to represent causality maps linking measured and target
variables (Pearl, 2000, Ben Gal, 2003, 2004, 2007, Kenett, 2007, Cornalba et
al, 2007, Gruber and Ben-Gal 2011). Such mapping models can be used for
effective process monitoring. The talk will present an introduction to
Bayesian Networks and their applications in the context of the amount of
data available. We distinguish between small data sets, with multivariate
observations over 5-15 time instances, mid-range data sets with data
collected over 100-500 time stamps and massive data sets with thousand and
even millions data points. The examples we cover include the testing of web
services (Bai and Kenett, 2012), bioinformatics (Grau et al, 2008) and web
site usability analysis with massive data sets (Harel et al, Kenett et al,
2009), customer satisfaction surveys (Kenett and Salini, 2011) and
operational risks with midrange data sets (Kenett and Raanan, 2010),
healthcare systems (Kenett, 2012), and biotechnology with small data sets
(Peterson and Kenett, 2011). We will discuss various challenges in dealing
with complex data sets and provide an introduction to the European ambitious
FuturICT project (www.futurict.eu) that aims at handling planet level data
sets.

Biography:

Ron Kenett,Chairman and CEO of the KPA Group, Research Professor, University
of Torino, Turin, Italy, International Professor Associate, Center for Risk
Engineering, NYU-Poly, NY, USA and President of the Israel Statistical
Association (ISA). Ron is editor in chief of the Wiley Encyclopedia of
Statistics in Quality and Reliability, member of the advisory editorial
board of the international journal Quality Technology and Quantitative
Management, associate editor of the ISI ISBIS journal Applied Stochastic
Models in Business and Industry (ASMBI), Past President of the European
Network for Business and Industrial Statistics (ENBIS) and member of the
board of directors of Optimata and the publicly traded biotech company
D-Pharm. 

 

 

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