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Skip to Search Results- 1Bohlmann, Joerg
- 1Boone, Celia K.
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- 2Graduate and Postdoctoral Studies (GPS), Faculty of
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- 1Biological Sciences, Department of/Journal Articles (Biological Sciences)
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- 1The NSERC TRIA Network (TRIA-Net)/Journal Articles (TRIA-Net)
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Spring 2024
In machine learning and data mining, outliers—data points significantly differing from the majority—often pose challenges by introducing irrelevant information. Unsupervised methods are often used for detecting them as the information about outliers is unknown. Global-Local Outlier Scores based...
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High-dimensional data mining: subspace clustering, outlier detection and applications to classification
DownloadSpring 2010
Data mining in high dimensionality almost inevitably faces the consequences of increasing sparsity and declining differentiation between points. This is problematic because we usually exploit these differences for approaches such as clustering and outlier detection. In addition, the exponentially...
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How the mountain pine beetle (Dendroctonus ponderosae) breached the Canadian Rocky Mountains
Download2014-01-01
Sperling, Felix A. H., Murray, Brent W., Li, Yisu, Coltman, David W., Bohlmann, Joerg, Janes, Jasmine K., Cooke, Janice E. K., Boone, Celia K., Huber, Dezene P.W., Keeling, Christopher I., Yuen, Macaire M. S.
The mountain pine beetle (MPB; Dendroctonus ponderosae Hopkins), a major pine forest pest native to western North America, has extended its range north and eastward during an ongoing outbreak. Determining how the MPB has expanded its range to breach putative barriers, whether physical...