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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Timely and cost-efficient data exploration through adaptive tuning
DTSTART:20191018T170000
DTSTAMP:20260406T170128Z
UID:45794686c33e5c3a044af59ffcdd644d237273dca03a822909036a23
CATEGORIES:Thesis defenses
DESCRIPTION:Matthaios Alexandros OLMA\nThesis Director: Prof. A. Ailamaki\
 ,\nComputer and Communication Sciences doctoral program\nThesis Nr. 9636
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
END:VEVENT
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