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Publications

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  • 2015
  • Article

Scalable Detection of Anomalous Patterns With Connectivity Constraints

By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and... View Details
Keywords: Biosurveillance; Event Detection; Graph Mining; Scan Statistics; Spatial Scan Statistic
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  • 2011
  • Article

Scalable Detection of Anomalous Patterns With Connectivity Constraints

By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and... View Details
Keywords: Biosurveillance; Event Detection; Graph Mining; Scan Statistics; Spatial Scan Statistic
Related
  • Portrait Project

Jason Sanders

There are no real tomorrows, no plans, no potential leads. All I have are moments, just fleeting spots of time. Choice is mine to use them, to love, to act, to heal. Could let my past define me, draw a nice View Details
  • 17 Jul 2012
  • First Look

First Look: July 17

offset by a tax on noncorporate business income and an expansion of taxable income. Topics include tax-avoidance techniques, globalization, repatriation taxes, corporate social responsibility, and U.S. workers. Graphs are included, which... View Details
Keywords: Sean Silverthorne
  • 30 Jan 2018
  • First Look

January 30, 2018

outcomes of an organization’s immediate interventions or the ability to affect system-wide change. By graphing the two levels of scale against the two levels of impact, we have constructed a four-quadrant framework. Quadrant #1 focuses on... View Details
Keywords: Sean Silverthorne