In our Reading Group, we discuss one or two papers each week. Each week we select a paper and a person in our group presents the paper. We alternately present papers related to our research area.
The topics includes Stream Processing Algorithms and Platforms, Algorithms for Big Data, and Cyber-security.
|May-25-2016||A Framework for Clustering Evolving Data Streams||Yu Zhang|
|June-01-2016||GraphChi: Large-Scale Graph Computation on Just a PC||Apurba Das|
|June-08-2016||Detecting Insider Theft of Trade Secrets||Yung-Yu Chung|
|June-08-2016||Designing Host and Network Sensors to Mitigate the Insider Threat||Yung-Yu Chung|
|June-15-2016||Twitter Heron: Stream Processing at Scale||Sindhusha Dhulipala|
|June-22-2016||Information-Theoretic Measures for Anomaly Detection||Yesdaulet Izenov|
|July-22-2016||AZSecure dataset||Yung-Yu Chung|
|July-27-2016||Introduction to bayesian networks||Yu Zhang|
|Aug-03-2016||Dense sub-graphs in graph||Apurba Das|
|Aug-10-2016||Insider Threat Detection||Yung-Yu Chung|
|Aug-17-2016||Communication-Efficient Computation on Distributed Noisy Datasets||Yu Zhang|
|Aug-24-2016||Streaming Data Analytics for Anomalies in Graphs||Apurba Das|
|Aug-31-2016||Neighborhood Formation and Anomaly Detection in Bipartite Graphs||Trong Nguyen|