Workload access patterns can limit the performance achievable with static data placement in distributed database systems. Dynamic physical database designs in which data item master locations, partitioning schemes and replica locations can vary with the workload help improve system performance.

Friday, November 1, 2019 3:00 PM EDT

Seminar • Information Retrieval for Health and Well-being Among Millennials

Joan Bartlett, School of Information Studies
McGill University

Millennials have been found to rely heavily on information obtained from the web and social networks; but it is also seen that they may not be able to judge the authenticity, validity and reliability of the digital information, and may share misinformation among themselves.

Monday, October 28, 2019 10:30 AM EDT

DSG Seminar Series • The Search for Emotions, Creativity, and Fairness in Language

Speaker: Saif M. Mohammad, National Research Council Canada

Friday, October 25, 2019 2:00 PM EDT

DSG Series • Connected data: pushing the envelope of data analytics systems

Speaker: Marco Serafini, University of Massachusetts Amherst

Friday, October 18, 2019 10:30 AM EDT

Seminar • Math-Aware Search: A Progress Report from the MathSeer Project

Richard Zanibbi, Director, Document and Pattern Recognition Lab
Rochester Institute of Technology

Tuesday, September 10, 2019 10:30 AM EDT

DSG Seminar Series • AI-Native Database

Speaker: Guoliang Li, Tsinghua University

Abstract:

Wednesday, August 7, 2019 2:30 PM EDT

MMath Research Paper Presentation • Math Information Retrieval with Wildcards in the Context of Pen-based Interfaces

Camilo Munoz, MMath candidate
David R. Cheriton School of Computer Science

Thanks to the advance in mobile and touch screen devices, handwritten input has gained more popularity among users. When considering mathematical input, however, handwritten math interfaces have to deal with new problems and issues not found in natural language. A popular area of interest that deals with math formulae recognition is math information retrieval (MIR).

Wednesday, August 7, 2019 10:30 AM EDT

DSG Seminar Series • Scaling Database Systems to High-Performance Computers

Speaker: Spyros Blanas, The Ohio State University

Wednesday, July 31, 2019 12:15 PM EDT

PhD Seminar • GraphSurge: A System for Graph Analytics on Views and Multidimensional Differential Cubes

PLEASE NOTE: THIS TALK IS CANCELLED

Siddhartha Sahu, PhD candidate
David R. Cheriton School of Computer Science

Wednesday, June 12, 2019 12:15 PM EDT

PhD Seminar • HoloDetect: Few-Shot Learning for Error Detection

Alireza Heidari, PhD candidate
David R. Cheriton School of Computer Science

We introduce a few-shot learning framework for error detection. We show that data augmentation (a form of weak supervision) is key to training high-quality, ML-based error detection models that require minimal human involvement.

Wednesday, May 29, 2019 12:15 PM EDT

PhD Seminar • Predictable and Consistent Information Extraction

Besat Kassaie, PhD candidate
David R. Cheriton School of Computer Science

Friday, May 24, 2019 10:30 AM EDT

DSG Seminar Series • Ultra-scalable transactional management, linear scale out of transactional workloads

Speaker: Ricardo Jimenez-Peris

Abstract: The talk will present the ultra-scalable distributed algorithm to process transactional management and how it has been implemented as part of the LeanXcale database. The talk will go into the details on how ACID properties have been scaled out independently in a composable manner.

Tuesday, May 21, 2019 9:30 AM EDT

MMath Thesis Presentation • Entity Matching and Disambiguation Across Multiple Knowledge Graphs

Michael Farag, MMath candidate
David R. Cheriton School of Computer Science

Knowledge graphs are considered an important representation that lies between free text on one hand and fully-structured relational data on the other. Knowledge graphs are a backbone of many applications on the Web. With the rise of many large-scale open-domain knowledge graphs like Freebase, DBpedia, and Yago, various applications including document retrieval, question answering, and data integration have been relying on them.

Monday, May 13, 2019 10:30 AM EDT

DSG Seminar Series • Just-in-Time Indexing: Rethinking Data Layout as a Compiler Problem

Speaker: Oliver Kennedy, University at Buffalo

Friday, April 26, 2019 3:30 PM EDT

Seminar • Data Science and Social Computing for Emerging Social Media and Multimedia Applications

James She, Department of Electronic and Computer Engineering
Hong Kong University of Science and Technology

Monday, April 15, 2019 3:00 PM EDT

DSG Seminar Series • Data Management meets Information Theory

Speaker: Dan Suciu, University of Washington

Wednesday, April 10, 2019 9:00 AM EDT

PhD Defence • Increasing the Efficiency of High-Recall Information Retrieval

Haotian Zhang, PhD candidate
David R. Cheriton School of Computer Science

Tuesday, April 9, 2019 10:30 AM EDT

Seminar • Data Systems — Meta-Analysis for Retrieval Experiments Involving Multiple Test Collections

Ian Soboroff, Leader, Retrieval Group
National Institute of Standards and Technology

Tuesday, March 12, 2019 11:00 AM EDT

PhD Seminar • Sampling Strategies and Active Learning for Volume Estimation

Haotian Zhang, PhD candidate
David R. Cheriton School of Computer Science

Wednesday, February 27, 2019 12:15 PM EST

PhD Seminar • DimmStore: Tackling Memory Power Footprint of Database Systems

Alexey Karyakin, PhD candidate
David R. Cheriton School of Computer Science

Energy consumed by the main memory in existing database systems does not effectively scale down with lower system utilization, both in terms of actual memory usage and load conditions. At the same time, main memory represents a sizable portion of the total server energy footprint, which makes it an outlier as the rest of the system moves towards energy proportionality.

We introduce DimmStore, a prototype main-memory database system that addresses the problem of memory energy consumption.