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Database-seminar
DB Seminar is a bi-weekly event organized by the labs DATA (Christoph Koch), DIAS (Anastasia Ailamaki) and LSIR (Karl Aberer). The scope of this venue is to share database research which is in a mature state in order to follow the latest results of the databases labs. Moreover, in the DB Seminar we will gladly host visitors from the broader area of databases research to present their work.
Seminar coordinators
Mailing List:
The corresponding mailing list is db-seminar@groupes.epfl.ch. If you want to enroll in the mailing list and receive notifications for the talks please send an email to Adrian Popescu or Milos Nikolic.
Schedule:
The meetings take place every other Tuesday at room BC 410 at 16:00 (unless otherwise stated) according to the schedule below.
This calendar is available for synchronization with any calendar client that supports ICAL, XML, or HTML. The calendar ID is 4d7e6jqh5aadq6l76mregvu928@group.calendar.google.com. For more details on how to add this to your Google calendar, read this article. If you wish to synchronize with other clients, such as Outlook, read this article (from Google) and this article (from Microsoft).
Date | Speaker | Affiliation | Inv. by | Talk title |
May1 | Darius Sidlauskas | MADALGO | DIAS | Parallel Processing of Massive Update and Query Workloads in Main Memory |
Date | Speaker | Affiliation | Inv. by | Talk title |
Sept5 | Chris Jermaine | Rice | DIAS | Large Scale Bayesian Machine Learning with the SimSQL System |
Apr23 | Vasilis Vassalos | AUEB | DATA | Score-consistent algebraic optimization of full text queries |
Apr9 | Lefteris Sidirourgos | CWI | DIAS | Column Imprints: A Secondary Index Structure |
Mar5 | Lyublena Antova | Greenplum | DATA | Orca: Greenplum's optimizer for big data |
Date | Speaker | Affiliation | Inv. by | Talk title |
Dec11 | Ashwin Machanavajjhala | Duke | DATA | |
Oct23 | Thanassis Papaioannou | LSIR | Title: Scalia: An Adaptive Scheme for Efficient Multi-Cloud Storage |
|
Sep25 | Stefanie Scherzinger | RUAS | DATA | Tales from Industry: Data Stream Processing in Database Performance Monitoring |
Spring 2012
* Note the difference from the normal schedule.
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