Database Reading Group

The Database Reading Group is a Datalab-sponsored entity that exists to discuss papers related (broadly speaking) to database technology. We meet on a weekly basis, Friday mornings from 10:00 to 11:30 AM. The standard meeting place is room 130 in PSU's Fourth Avenue Building. The group welcomes anyone, inside or outside of PSU, with an interest in the subject matter. Designated group members will lead the discussion each week.

DIRECTIONS: From the building's main entrance on Fourth Ave., follow the hallway at the northeast (far left) corner of the large lobby until it ends with a set of glass doors on your right. Enter these doors into a study area. A neon sign announcing the Department of Computer Science will be in front of you. Room 130 is the second glass door on the left from the main office door. It does not require badge access and should be open.

We occasionally need to move to a different location; if we know in advance, it will be listed below.

Reading group announcements are sent to the group mailing list at To (un)subscribe to this list, use the mailman web interface.

Scheduled papers (with Web links where possible) and discussion leaders are listed below. You can also see a list of papers previously discussed.


Friday, 20 October 2017 @ 10:00 AM

Context-Based Event Processing Systems

SpringerLink: Studies in Computational Intelligence, vol 347. Springer, Berlin, Heidelberg

Author(s): Opher Etzion, Yonit Magid, Ella Rabinovich, Inna Skarbovsky, and Nir Zolotorevsky

Discussion Leader: Hong Quach

Friday, 27 October 2017 @ 10:00 AM

MILC: Inverted List Compression in Memory

VLDB 2017

Author(s): Jianguo Wang, Chunbin Lin, Ruining He, Moojin Chae, Yannis Papakonstantinou, Steven Swanson

Discussion Leader: Basem

Friday, 03 November 2017 @ 10:00 AM

Using Topic Models to Assess Document Relevance in Exploratory Search User Studies

CHIIR 2017

Author(s): Alan Medlar, Dorota Głowacka

Discussion Leader: Hisham Benotman

Friday, 17 November 2017 @ 10:00 AM

Striim: A streaming analytics platform for real-time business decisions

BIRTE 2017

Author(s): Alok Pareek, Bhushan Khaladkar, Rajkumar Sen, Basar Onat, Vijay Nadimpalli, Manish Agarwal, and Nicholas Keene

Discussion Leader: Dave

Friday, 01 December 2017 @ 10:00 AM

I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making

VLDB 2017

Author(s): Sajjadur Rahman, Maryam Aliakbarpour, Ha Kyung Kong, Eric Blais, Karrie Karahalios, Aditya Parameswaran, Ronitt Rubinfield

Discussion Leader: Basem