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
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
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 |
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
Abstract: |
Applications using NoSQL databases commonly denormalize and duplicate data to improve performance. While this can improve application performance, it also introduces several complications. |
Wednesday, September 14, 2016 — 12:30 PM EDT
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 |
Wednesday, May 4, 2016 — 3:00 PM EDT
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
Wednesday, April 27, 2016 — 12:30 PM EDT
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. |
Wednesday, March 2, 2016 — 12:30 PM EST
Thursday, February 11, 2016 — 12:00 PM EST
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. |