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Skip to Search Results- 36Zaiane, Osmar (Computing Science)
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- 8Machine Learning
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Advantage of Integration in Big Data: Feature Generation in Multi-Relational Databases for Imbalanced Learning
DownloadFall 2016
Most data mining and machine learning techniques rely on a single flat table and assume balanced training data. However, most real-world applications comprise databases having multiple tables and imbalanced data. It becomes further complicated in the realm of Big Data where related information is...
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Fall 2015
Emotion mining is the science of detecting, analyzing, and evaluating humans’ feelings towards different events, issues, services, or any other interest. One of its specific directions is text emotion mining, that refers to analyzing people’s emotions based on observations of their writings. Text...
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Fall 2016
Mohomed Jabbar, Mohomed Shazan
Co-location pattern mining is a class of techniques to find associations among spatial features. It has a wide range of applications varying from business to science. Our work is motivated by an application in environmental health where the goal is to investigate whether the maternal exposure...
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Spring 2011
Comparative analysis is an essential part of understanding how and why things work the way they do. Why postgraduate degree holders really earn more money than those with an undergraduate degree? What factors contribute to pre-term births? Why are some students more successful than others? The...
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Spring 2019
When a machine or a component of a machine fails, corrective maintenance is performed to identify the cause of failure and decide on a repair mechanism to restore the machine to its normal working condition. However, because the machine has failed without any prior warning, a considerable amount...
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Fall 2012
With the large presence of organizations from different sectors of economy on the web, the problem of detecting which sector a given website belongs to is both important and challenging. We study the problem of classifying websites into four non-topical categories: public, private, non-profit and...
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Fall 2020
Many structures in different areas of science can be modeled with graphs containing nodes and edges, which represent the entities of the model and the relationship between them, respectively. Community detection and discovery are two important tasks in Social Network Analysis, which try to find...
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Fall 2012
Selecting appropriate rehabilitation treatments for injured workers has been a challenging task for clinicians and health care funders. Currently, clinicians are unable to identify the optimal treatment for a patient with absolute confidence and are looking for assistance from other research...
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Statistically Significant Dependencies for Spatial Co-location Pattern Mining and Classification Association Rule Discovery
DownloadFall 2014
Spatial co-location pattern mining and classification association rule discovery are two canonical tasks studied in the data mining community. Both of them focus on the detection of sets of features that show associations. The difference is that in spatial co-location pattern mining, the features...
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Fall 2016
Current medical imaging professional training uses an apprenticeship model with students following an established doctor and viewing their cases, in what is called a practicum. This posses an issue as students are limited to the cases available during their practicum. To resolve this automated...