Archived Events

Archived Events

Oct 31

2016

Oct 31 2016
[DB Seminar] Fall 2016: Neil Shah
Speaker:
Neil Shah

Livestreaming platforms have become increasingly popular in recent years as a means of sharing and advertising creative content. Popular content streamers who attract large viewership to their live broadcasts can earn a living by means of ad revenue, donations and channel subscriptions. Unfortunately, this incentivized popularity has simultaneously resulted in incentive for fraudsters to provide services to astroturf, or artificially... Read More

Oct 24

2016

Oct 24 2016
[DB Seminar] Fall 2016: Matteo Riondato (Two Sigma)
Speaker:
Matteo Riondato

TRIÈST is a suite of one-pass streaming algorithms to compute unbiased, low-variance, high- quality approximations of the global and local (i.e., incident to each vertex) number of triangles in a fully-dynamic graph represented as an adversarial stream of edge insertions and deletions. The algorithms use reservoir sampling and its variants to exploit the user-specified memory space at all times. This... Read More

Oct 19

2016

Oct 19 2016
Charlie Swanson (MongoDB)
Speaker:
Charlie Swanson
System:
MongoDB

Everyone knows distributed systems are hard. At MongoDB we want to make it easy to express complex queries and extract insights from your data, but we also need to be able to scale to enormous data sets. To help you scale, we support a deployment which partitions the data amongst multiple machines, but a distributed system complicates even simple queries.... Read More

Oct 17

2016

Oct 17 2016
[DB Seminar] Fall 2016: Round table discussion

We will have a round table discussion. Read More

Oct 14

2016

Oct 14 2016
Jessie Li (Penn State)
Speaker:
Jessie Li

How could we harness the increasingly available big data to understand our dynamic ecosystem? For example, why people or animals move in the space in certain ways and how do their movements respond to surrounding environments? Why are crimes more frequent in certain regions and can we explain it using heterogeneous urban data? Is shale gas development contaminating our environment... Read More

Oct 10

2016

Oct 10 2016
[DB Seminar] Fall 2016: Emaad Manzoor
Speaker:
Emaad Manzoor

Given a stream of heterogeneous graphs containing different types of nodes and edges, how can we spot anomalous ones in real-time while consuming bounded memory? This problem is motivated by and generalizes from its application in security to host-level advanced persistent threat (APT) detection. We propose StreamSpot, a clustering based anomaly detection approach that addresses challenges in two key fronts:... Read More

Oct 4

2016

Oct 4 2016
Alex Robinson (CockroachDB)
Speaker:
Alex Robinson
System:
CockroachDB

Learn more about CockroachDB from Google alum and Member of Technical Staff, Alex Robinson! The talk will focus on how CockroachDB ensures data integrity, no matter how broadly distributed. Read More

Oct 3

2016

Oct 3 2016
[DB Seminar] Fall 2016: Ashraf Aboulnaga (QCRI)
Speaker:
Ashraf Aboulnaga

Distributed data processing platforms such as Pregel and GraphLab have substantially simplified the design and deployment of certain classes of distributed graph analytics algorithms. However, these platforms do not represent a good match for distributed graph mining problems, for example, finding frequent subgraphs in a graph. Given an input graph, these problems require exploring a very large number of subgraphs... Read More

Sep 26

2016

Sep 26 2016
[DB Seminar] Fall 2016: Wolfgang Gatterbauer (CMU)
Speaker:
Prof. Wolfgang Gatterbauer

Performing inference over large uncertain data sets is becoming a central data management problem. Recent large knowledge bases, such as Yago, Nell or DeepDive, have millions to billions of uncertain tuples. Because general reasoning under uncertainty is highly intractable, many state-of-the-art systems today perform approximate inference by reverting to sampling. This talk shows an alternative approach that allows approximate ranking... Read More

Sep 19

2016

Sep 19 2016
[DB Seminar] Fall 2016: Prof. Shenghua Liu
Speaker:
Prof. Shenghua Liu

With mobile and web-based techniques to create highly interactive platforms, social media becomes prevalent  in our daily life. It sees the interaction among people in which they create, share, discuss, or exchange ideas in virtual communities and networks. In this talk, he will introduce a series of his previous research work related to social media. They range from understanding short text, opinions,... Read More