Glossary
- Event Detection:
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Identifying patterns of interest in large temporal datasets
- Spatial Scan Statistic:
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A method for identifying hotspots in spatial data, widely used in epidemiology and biosurveillance
- Scoring Function:
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An objective function that measures the anomalousness of a subset of data
- LTSS:
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Linear-time subset scanning
- Time to Detect:
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Evaluation metric; time delay before detecting an event
- Overlap:
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Evaluation metric; accuracy of detected subsets of data
- Detection Power:
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Evaluation metric; proportion of detected events
Definition
GraphScan is a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node of the graph, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and exactly identify the most anomalous (highest-scoring) connected subgraph....
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Speakman, S., Somanchi, S., McFowland, E., Neill, D.B. (2014). Disease Surveillance, Case Study. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_283
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DOI: https://doi.org/10.1007/978-1-4614-6170-8_283
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