evel of abstraction, we can represent a workflow as a directed graph with operators (or tasks) at the vertices (see Figure 1). Each operator takes inputs from data sources or from ...
The clustering coefficient of a node in a social network is a fundamental measure that quantifies how tightly-knit the community is around the node. Its computation can be reduce...
The computation of a shape's orientation is a common task in the area of computer vision and image processing, being used for example to define a local frame of reference and...
In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
— MapReduce has become an effective approach to big data analytics in large cluster systems, where SQL-like queries play important roles to interface between users and systems. H...