Events - 2016

Monday, December 19, 2016 10:30 AM EST

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

Speaker: Fabian M Suchanek, Telecom ParisTech University
Friday, December 2, 2016 10:30 AM EST

Amol Deshpande,  Department of Computer Science
University of Maryland

Wednesday, November 30, 2016 12:30 PM EST
Speaker: Xu Chu
Absract:

Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and wrong business decisions.

Wednesday, November 30, 2016 12:30 PM EST

Speaker: Xu Chu

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. It is estimated that data scientists spend 60-80% of their time cleaning and organizing data rather than performing modelling or data mining.

Tuesday, November 8, 2016 11:18 AM EST
Speaker: Xu Chu
Absract:

Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and wrong business decisions.

Wednesday, October 26, 2016 12:30 PM EDT
Speaker: Kareem El Gebaly
Tuesday, October 25, 2016 1:00 PM EDT

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

Speaker: Wolfgang Gatterbauer, CMU
Thursday, October 20, 2016 3:30 PM EDT
Speaker: Ophir Frieder, Georgetown University
Saturday, October 15, 2016 10:15 AM EDT
Speaker: Olga Papaemmanouil, Brandeis University
Wednesday, October 5, 2016 12:30 PM EDT
Speaker: Michael Mior
Abstract: Applications using NoSQL databases commonly denormalize and duplicate data to improve performance. While this can improve application performance, it also introduces several complications.
Monday, September 26, 2016 10:15 AM EDT

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

Speaker: Per-Âke (Paul) Larson
Wednesday, September 14, 2016 12:30 PM EDT
Speaker: Alexey Karyakin
Abstract: Most research on computer systems energy efficiency has been focused on the CPU. CPU power management features such as power states and frequency scaling has been used by operating systems and applications to optimize energy use. However, with increasing amount of main memory installed in servers, its contribution to total server energy footprint may become significant.
Tuesday, August 23, 2016 11:29 AM EDT
Speaker: Karthik Ramasamy, Twitter
Abstract:
Tuesday, July 12, 2016 2:00 AM EDT

Part of the Data Systems Seminar Series (2015-2016)

Speaker: Jay Aslam, Northeastern University
Monday, May 16, 2016 10:30 AM EDT

Part of the Data Systems Seminar Series (2015-2016) 

Speaker: Kevyn Collins-Thompson, University of Michigan
Wednesday, May 4, 2016 3:00 PM EDT
Speaker: Michael Mior
Abstract:

Database design is critical for high performance in relational databases and many tools exist to aid application designers in selecting an appropriate schema. While the problem of schema optimization is also highly relevant for NoSQL databases, existing tools for relational databases are inadequate for this setting.

Wednesday, May 4, 2016 12:30 PM EDT
Speaker: Mustafa Korkmaz
Abstract:
Wednesday, April 27, 2016 12:30 PM EDT
Speaker: Gaurav Baruah
Abstract: Nugget-based evaluation requires assessors to judge whether or not a given nugget is found in a given piece of text. In TREC tracks such as Temporal Summarization and Question Answering, assessors may need to keep track of over 100 nuggets per search topic.
Monday, April 18, 2016 2:30 PM EDT

Part of the Data Systems Seminar Series (2015-2016)

Speaker: Ricardo Baeza-Yates, UPF, Spain & UChile
Monday, April 11, 2016 10:30 AM EDT

Part of the Data Systems Seminar Series (2015-2016) 

Speaker: Frank McSherry
Wednesday, March 2, 2016 12:30 PM EST
Speaker: Aiman Al-Harbi
Thursday, February 11, 2016 12:00 PM EST
Speaker: Peter Unterbrunner, Snowflake Computing
Tuesday, January 26, 2016 11:00 AM EST
Abstract: Database design is critical for high performance in relational databases and many tools exist to aid application designers in selecting an appropriate schema. While the problem of schema optimization is also highly relevant for NoSQL databases, existing tools for relational databases are inadequate for this setting.

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