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- 4Regression Analysis
- 3Database Systems
- 2Machine Learning
- 1Anomalous Network Traffic
- 1Anomaly Detection
- 9Graduate and Postdoctoral Studies (GPS), Faculty of
- 9Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 3Computing Science, Department of
- 3Computing Science, Department of/Technical Reports (Computing Science)
- 1Agricultural, Food and Nutritional Science, Department of
- 1Agricultural, Food and Nutritional Science, Department of/Journal Articles (Agricultural, Food and Nutritional Science)
- 2Mohamed, Yasser (Civil and Environmental Engineering)
- 2Zaiane, Osmar (Computing Science)
- 1Apel, Derek (Civil and Environmental Engineering)
- 1Hall, Robert (Civil and Environmental Engineering)
- 1Huang, Biao (Chemical and Materials Engineering)
- 1Lu, Ming (Construction Engineering and Management)
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Spring 2019
Accounting for seven percent of the Gross Domestic Product (GDP), the construction industry is the fifth largest contributor to the Canadian economy (Statistics Canada 2019). Structural steel is one of the primary materials used in the construction industry for providing structural stability in...
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An Immersed Virtual Environment for Data WarehouseVisualization: Challenges and Implementation
Download2000
Technical report TR00-17. A system, DIVE-ON, was developed for visualizing and interacting with data from distributed data warehouses in an immersed virtual reality environment called a CAVE. The system provides navigation operations, OLAP manipulations, and data selection and filtering...
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Application of Data Mining Techniques for Fault Diagnosis and Prognosis of High Pressure Fuel Pump Failures in Mining Haul Trucks
DownloadFall 2021
Mining companies are investing in fewer but larger equipment, and downtime associated with larger equipment now represents a higher percentage of operational capacity loss. Thus, it is essential to frequently and accurately monitor the health of this equipment to avoid unscheduled breakdowns and...
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1988-01-01
Paleontology is a multi-faceted subject that involves taxonomy and community analysis as two of its cornerstones. Both qualitative and quantitative approaches have been incorporated into the various methods employed in such analyses. Each paleontologist obvious has his or her own preference that...
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Fall 2017
Network connectivity is an indispensable component of any computer related activities. Any computer-like machine is connected to some kind of a network, which is further connected to another computer network. Technological advances allow users to connect any devices and use multiple applications....
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Spring 2018
Steam-assisted gravity drainage (SAGD) is an enhanced oil recovery (EOR) technology widely used in Canada. Data available in SAGD industrial processes contain valuable information for monitoring, soft sensing, control, and optimization. This thesis focuses on data mining and optimization in the...
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2001
Lu, Paul, El-Hajj, Mohammad, Zaiane, Osmar
Technical report TR01-12. Searching for frequent patterns in transactional databases is considered one of the most important data mining problems. Most current association mining algorithms, whether sequential or parallel, adopt an apriori-like algorithm that requires full multiple I/O scans of...
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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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Spring 2016
Industrial fabrication for modular installations has its own set of challenges that combine the environments of industrial manufacturing and off-site construction. This hybrid execution strategy means that fabricators need to look at both fields and adopt the best tools and techniques. This...
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Inverted Matrix: Efficient Discovery of Frequent Items in Large Datasets in the Context of Interactive Mining
Download2003
El-Hajj, Mohammad, Zaiane, Osmar
Technical report TR03-08. Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. One major problem is the high memory dependency: either the gigantic data structure built is assumed to fit in main memory, or the recursive mining process...