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What and Who
Title:Correlation by Compression
Speaker:Kailash Budhathoki
coming from:International Max Planck Research School for Computer Science - IMPRS
Speakers Bio:
Event Type:PhD Application Talk
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Date, Time and Location
Date:Monday, 26 October 2015
Duration:90 Minutes
Building:E1 4
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.

Name(s):Andrea Ruffing
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  • Andrea Ruffing, 10/23/2015 06:55 PM -- Created document.