Events - 2017

Monday, December 4, 2017 — 10:30 AM EST

Rumi Chunara, Computer Science and in Global Public Health
New York University

Thursday, November 2, 2017 — 10:30 AM EDT

Aditya Parameswaran, Department of Computer Science
University of Illinois-Urbana Champaign

Monday, October 16, 2017 — 10:30 AM EDT

Heng Ji, Rensselaer Polytechnic Institute

Wednesday, September 27, 2017 — 12:30 PM EDT

Kareem El Gebaly, PhD candidate
David R. Cheriton School of Computer Science

The process of analyzing relational data typically involves tasks facilitating gaining familiarity or insights and coming up with findings or conclusions based on the data. This process is usually practiced by data experts (data scientists) that share their output with potentially less data expert audience (everyone).

Wednesday, September 20, 2017 — 12:30 PM EDT

Amira Ghenai, PhD candidate
David R. Cheriton School of Computer Science

People regularly use web search engines to investigate the efficacy of medical treatments. Search results can contain documents that present incorrect information that contradicts current established medical understanding on whether a treatment is helpful or not for a health issue. If people are influenced by the incorrect information found in search results, they can make harmful decisions about the appropriate treatment.

Tuesday, September 5, 2017 — 2:30 PM EDT

Benny Kimelfeld, Technion

Wednesday, August 2, 2017 — 10:30 AM EDT

Part of the Data Systems Seminar Series (2016-2017)

Speaker: Hans-Peter Kriegel, Ludwig-Maximilians-Universität München
Thursday, July 6, 2017 — 10:30 AM EDT

Part of the Data Systems Seminar Series (2016-2017) 

Speaker: C. Mohan, IBM Almaden Research Center
Tuesday, May 2, 2017 — 10:30 AM EDT

Patrick Valduriez
Inria and Biology Computational Institute (IBC)

Abstract: The blooming of different cloud data management infrastructures, specialized for different kinds of data and tasks, has led to a wide diversification of DBMS interfaces and the loss of a common programming paradigm.

Wednesday, April 19, 2017 — 12:30 PM EDT
Speaker: Mohamed Sabri
Abstract: Linked data has been widely adopted over the last few years, with the size of the Linked Data Cloud almost doubling every year. However, there is still no well-defined mechanism to query such a Web of Data.
Wednesday, March 15, 2017 — 12:30 PM EDT
Speaker: Kareem El Gebaly
Abstract:

This talk explores the idea of in-browser interactive analytics with split execution strategies where query operators are distributed between the frontend and backend servers.

Wednesday, March 8, 2017 — 12:30 PM EST
Speaker:

Ahmed El-Roby

Abstract:

There is currently a large amount of publicly accessible structured data available as RDF data sets. For example, the Linked Open Data (LOD) cloud now consists of thousands of RDF data sets with over 30 billion triples, and the number and size of the data sets is continuously growing.

Wednesday, February 1, 2017 — 12:30 PM EST
Speaker: Xu Chu
Abstract: Data quality is one of the most important problems in data management and data science, since dirty data often leads to inaccurate data analytics results and wrong business decisions.
Monday, January 30, 2017 — 2:00 PM EST
Speaker: Shaikh Quader
Monday, January 9, 2017 — 10:30 AM EST

Part of the Data Systems Seminar Series (2016-2017)

Speaker: Felix Naumann, Hasso Plattner Institute

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