[Jlab-scicomp-briefs] Colloqium: CS distinguished speaker Prof Y. Saad at W&M tomorrow 3pm.

[Balint Joo]

Dear All, 

I’ve been asked to publicize the forthcoming colloqium tomorrow at the 
college of William and Mary: Prof Yousef Saad will talk about Numerical Linear Algebra
Methods in Data Mining. at 3pm in the McGlothlin-Street Hall, Room 020.
Please forward to others who you think may be interested.

With very best wishes, 
 Balint


Speaker: Prof. Yousef Saad
Department of Computer Science, University of Minnesota

Friday Oct 31, 3pm McGlothlin-Street Hall, Room 020

Title: Numerical Linear Algebra Methods in Data Mining 

The field of  data mining is the source of  many new, interesting, and
sometimes challenging, linear algebra  problems.  In fact, one can say
that data  mining and  machine learning are  now beginning to  shape a
"new  chapter" in  numerical linear  algebra,  replacing Computational
Fluid  Dynamics and PDEs  as the  main source  of `model'  problems in
Numerical Linear Algebra.  The talk will start with an overview of the
key concepts and then discuss dimension reduction methods which play a
major role. We will illustrate these concepts with a few applications,
including   information  retrieval,   face   recognition  and   matrix
completion for recommender  systems. An important emerging application
is  `materials  informatics'.   The synergy  between  high-performance
computing, efficient electronic structure algorithms, and data mining,
may  potentially lead  to  major discoveries  in  materials.  We  will
report  on  our  first   experiments  in  `materials  informatics',  a
methodology which blends data mining and materials science.

Bio: 
Yousef Saad is an I.T. Distinguished Professor of Computer Science in the Department of Computer Science and Engineering at the University of Minnesota. He holds the William Norris Chair for Large-Scale Computing since January 2006. He is known for his contributions to the matrix computations, including the iterative methods for solving large sparse linear algebraic systems, eigenvalue problems, and parallel computing. Prof. Saad is listed as an ISI highly cited researcher in mathematics and is the author of the influential GMRES method and the highly cited book 'Iterative methods for sparse linear systems’.



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Dr Balint Joo              High Performance Computational Scientist
Jefferson Lab
12000 Jefferson Ave, Suite 3, MS 12B2, Room F217,
Newport News, VA 23606, USA
Tel: +1-757-269-5339,      Fax: +1-757-269-5427
email: bjoo at jlab.org       
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