While advances in computing resources have made processing enormous amounts of data
possible, human ability to identify patterns in such data has not scaled accordingly. Efficient …

Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …

How much has a network changed since yesterday? How different is the wiring of Bob's
brain (a left-handed male) and Alice's brain (a right-handed female), and how is it different …

How can we succinctly describe a million‐node graph with a few simple sentences? Given a
large graph, how can we find its most “important” structures, so that we can summarize it and …

We describe an optimal randomized MapReduce algorithm for the problem of triangle
enumeration that requires O (E3/2/(M√ m) rounds, where m denotes the expected memory …

It seems to be a truism to say that we should pay more and more attention to network traffic
safety. Such a goal may be achieved with many different approaches. In this paper, we put …

How can we enumerate triangles from an enormous graph with billions of vertices and
edges? Triangle enumeration is an important task for graph data analysis with many …

Given a set of node-labeled directed weighted graphs, how to find the most anomalous
ones? How can we summarize the normal behavior in the database without losing …

Mobile devices are evolving and becoming increasingly popular over the last few years. This
growth, however, has exposed mobile devices to a large number of security threats …

Detecting anomalies in social is a vital task, with numerous high impacted social networks
such as WWW, Facebook, Twitter and so on. There are multiple of techniques have been …