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- 9Chemometrics
- 8Interdisciplinarity
- 5Gas Chromatography
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- 3Machine Learning
- 6Szostak, R.
- 2Brigandt, Ingo
- 2Harynuk, James
- 1Adutwum, Lawrence A
- 1Adutwum, Lawrence A.
- 1Adutwum, Lawrence A.
- 39Graduate and Postdoctoral Studies (GPS), Faculty of
- 39Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 6Economics, Department of
- 5Economics, Department of/Journal Articles (Economics)
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- 39Thesis
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Developing and Evaluating Algorithms for Fixing Omission and Commission Errors in Structured Data
DownloadFall 2020
The use of machine learning is rapidly rising to deliver a variety of benefits in various domains. However, developing predictive systems often faces many challenges that can drastically delay model deployment. For instance, obtaining labeled training data is one of the most expensive bottlenecks...
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Fall 2012
Functional Magnetic Resonance Imaging (fMRI) measures the dynamic activity of each voxel of a brain. This dissertation addresses the challenge of learning a diagnostic classifier that uses a subject’s fMRI data to distinguish subjects with neuropsychiatric disorders from healthy controls. fMRI...
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2010
Love, Alan C. , Brigandt, Ingo
Accounting for the evolutionary origins of morphological novelty is one of the core challenges of contemporary evolutionary biology. A successful explanatory framework requires the integration of different biological disciplines, but the relationships between developmental biology and standard...
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Fall 2019
The growth of an organization in the market relies on customer’s satisfaction towards its products and services. Due to the dynamic nature of the internet, and increasing blogs, forums, and customer feedback, it usually remains a key issue in any industry to identify and extract data attributes...
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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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2007
This article addresses the interrelated questions of why it is important to teach students about the nature of interdisciplinarity and how this material might be best communicated to students. It is important to define for students what is meant by disciplines and interdisciplinarity. Having...
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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....