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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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DTSTART:20171029T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20181028T030000
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DTSTART:20180325T020000
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UID:calendar.13029.field_data.0@www.open.diag.uniroma1.it
DTSTAMP:20260409T010149Z
CREATED:20180305T135307Z
DESCRIPTION:In our Big Data era\, as data-driven decision making sweeps thr
 ough all aspects of society\, the demands to make useful data available ar
 e growing ever louder.   For example\, the ubiquity of GPS-enabled devices
  has resulted in a wealth of data about the movements of individuals and p
 opulations\, which can be analyzed for useful information to aid in city a
 nd traffic planning\, disaster preparedness\, and so on.  But the problem 
 of releasing such data without disclosing confidential information\, such 
 as the places people visit\, is a subtle and difficult one.  Is “private d
 ata release” an oxymoron?   This talk will delve into the motivations of p
 rivate data release\, explore the challenges\, and outline some of the his
 torical and recent approaches developed in response to this confounding pr
 oblem.   Speaker Bio: Divesh Srivastava is the head of Database Research a
 t AT&T Labs-Research. He is a Fellow of the Association for Computing Mach
 inery (ACM)\, the Vice President of the VLDB Endowment\, and the managing 
 editor of the Proceedings of the VLDB Endowment (PVLDB).  He has served as
  an associate editor of the ACM Transactions on Database Systems (TODS)\, 
 and as an associate Editor-in-Chief of the IEEE Transactions on Knowledge 
 and Data Engineering (TKDE).  He has presented keynote talks at several in
 ternational conferences\, and his research interests and publications span
  a variety of topics in data management.  He received his Ph.D. from the U
 niversity of Wisconsin\, Madison\, USA\, and his Bachelor of Technology fr
 om the Indian Institute of Technology\, Bombay\, India.
DTSTART;TZID=Europe/Paris:20180412T120000
DTEND;TZID=Europe/Paris:20180412T120000
LAST-MODIFIED:20191011T065610Z
LOCATION:Aula Magna DIAG
SUMMARY:The confounding problem of private data release - Prof. Divesh Sriv
 astava
URL;TYPE=URI:http://www.open.diag.uniroma1.it/node/13029
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