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What and Who

Correlation by Compression

Kailash Budhathoki
International Max Planck Research School for Computer Science - IMPRS
PhD Application Talk
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI  
Public Audience
English

Date, Time and Location

Monday, 26 October 2015
11:20
90 Minutes
E1 4
024
Saarbrücken

Abstract

Most of the existing correlation measures make assumption about the data

in hand. We, on the other hand, develop our correlation score from scratch
Using   solid  theoretical foundation of  Kolmogorov complexity. Doing that,
however,  we do  not make any  assumption  about the  type of data.  The
correlation score is easy to interpret and possesses interesting properties.
We    also  give   an  algorithm to  mine correlated  patterns  from   data.
Experiments show that our method finds interesting patterns.

Contact

Andrea Ruffing
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Andrea Ruffing, 10/23/2015 18:55 -- Created document.