Evènement pour le groupe BioInformatique et Visualisation


Date 2013-07-18  11:00-12:00
TitreNumerical Linear Algebra in a Database System for Big Data Analytic s 
RésuméLinear algebra is behind most scientific analytic computations, including numerical methods, statistics, physics and data mining. On the other hand, database systems provide extensive features to manage and query data, but not to analyze it. The integration of linear algebra algorithms into a database system is difficult due to the relational model discrete set foundation, which in consequence hinders efficient array processing. In this talk, we discuss our progress towards solving two prominent linear algebra problems on large data sets: singular value decomposition and least squares regression. We present a common matrix foundation to summarize large data sets with an outer product and exploiting such summarization we discuss how to efficiently solve linear algebra problems with iterative methods.  
Lieu178 
OrateurCarlos Ordonez  
Emailordonez@cs.uh.edu 
UrlUniversity of Houston 



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