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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Runtime Prediction for Scale-Out Data Analytics
DTSTART:20150702T170000
DTSTAMP:20260406T172455Z
UID:7ba12fe0b8e66b91b58a3b06807649ed0aa8a41060d7cf0a4155e4e2
CATEGORIES:Thesis defenses
DESCRIPTION:Adrian Daniel POPESCU\nThesis director : Prof. A. Ailamaki\nCo
 mputer and Communication Sciences doctoral program.\nThesis 6629
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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END:VCALENDAR