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- 4Interdisciplinarity
- 4Mass-spectrometry
- 3Machine Learning
- 3Outlier detection
- 2Arson
- 4Szostak, R.
- 2Harynuk, James
- 1Adutwum, Lawrence A
- 1Adutwum, Lawrence A.
- 1Adutwum, Lawrence A.
- 1Alireza Kheradmand
- 31Graduate and Postdoctoral Studies (GPS), Faculty of
- 31Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 4Biological Sciences, Department of
- 4Biological Sciences, Department of/Journal Articles (Biological Sciences)
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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...
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Fall 2010
In this dissertation, a hydrologic classification approach was tested using the shape factor of hydrographs to represent variation in streamflow regimes across Alberta. Hydrograph shape factor was effective at separating the forested landbase into 6 spatially distinct regions. Further statistical...
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Inferring Semantic Information from Websites: A View into Contextual Advertising and User Behavior Profiling
DownloadFall 2015
The World Wide Web has become an important platform for the execution of diverse types of human endeavor. There are billions of webpages covering different subjects and users with varied backgrounds on the web. Every day, colossal volumes of data are collected about the usage of websites....
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Integrated Classification of Cannabis Strains Marketed in Canada for Medical Purposes Based on Genetic, Chemical Profiles, and Morphological Traits
DownloadFall 2021
The vernacular naming convention commonly used by the cannabis community (“Sativa” and “Indica”) is inadequate for identifying or selecting strains for clinical research and medicinal production because they are arbitrary and inconsistent. In addition, they mostly contain tetrahydrocannabinol...
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Latent Class and Functional Data Analyses for the Investigation of Stiffness in Low Back Pain
DownloadFall 2018
Low back pain (LBP) is known to be a prevalent, debilitating and costly condition, not to mention the difficulty clinicians have treating it. But progress has been made, as it has recently been shown that instrumented L3 indentation generates force-displacement (F-D) data that is associated with...
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Spring 2019
Predictive modeling has proven to be a valuable tool in process industry to estimate hard-to-measure variables that cannot be measured online. Those variables usually require LAB analysis to be quantified, which is time-consuming and costly. Predictive modeling can be used for both regression and...
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2009
Wishart, D.S., Psychogios, N., Young, N., Xia, J.
Metabolomics is a newly emerging field of ‘omics’ research that is concerned with characterizing large numbers of metabolites using NMR, chromatography and mass spectrometry. It is frequently used in biomarker identification and the metabolic profiling of cells, tissues or organisms. The data...