Targeted Incentive Offering for At-Risk Customers in an E-Commerce Setting

In this project, we focus on increasing sales in e-commerce shops by offering purchasing incentives to shoppers who are likely to leave without buying. More specifically, our goal is to predict which shoppers are likely to abandon their shopping cart and what can be done while they’re still on the site to customize their shopping […]

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Extracting information from Emails

The project will attempt to extract useful information from emails as well as attempt to classify emails as meeting intent or not. The proposed project deals with attempting to leverage current machine learning and natural language processing techniques to build a prototype that can solve the above problems. This will benefit the company by not […]

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Application of Data Mining Methods for Detecting Irregularities in Securities Market

Current procedure for monitoring securities market in Canada relies heavily on tips from outside and hard coded rules and thresholds. This approach leaves many suspicious cases out of investigation (i.e. false negatives). We introduce a data mining approach to identify irregularities in securities market. These irregularities are known as suspicious cases that might be associated […]

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Technology Acceleration of Selected Water Treatment Processes

Teck Resources Limited is exploring ways to improve water treatment efficiency as part of its commitment to responsible environmental practices. While various technologies are currently in the piloting stage, there is a need to continue exploring potential treatment options for future implementation. The objective of this project is to generate technical and engineering information that […]

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Investigating Open Scholarship and Inclusive Practices in Higher Education

The objective of this project is to create a set of innovative business intelligence tools to enhance advanced data mining and data visualization capabilities of the Perspective PPM 2000 software system. The Perspective software is an incident management system that facilitates corporate incident data collection, reporting, analysis and management. Incident data is a post-event record […]

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Animal Recognition From Natural Scene Images

With the development of imaging technology, camera trapping becomes one of the best ways to record the presence and activities of large mammals in a given area. The approach to monitoring the animals can assist people in the community with decision making about preserving biodiversity. In the past, experts analyzed such images manually, which required […]

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Efficient Signal Processing and Radio Resource Management (RRM)for Coordinated Multiple-Antenna Multi-Node Downlink Transmission in Heterogeneous Cellular Networks

Reliable high-speed wireless data transmission is the primary goal of future cellular systems. A key impediment to achieving this goal is interference on receivers from transmitters in adjacent cells. This problem becomes even more challenging when the types of transmitters and cell sizes vary within a heterogeneous network (HetNet). The performance of users near a […]

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Sequential anomaly detection with labeling costs

In a number of data analytics domains, there is a need for detecting the situations when something outside of the normal conditions is happening. The goal of this project is to develop novel algorithms that learn to distinguish these normal and anomalous patterns through minimal interaction with a human user, while allowing complex data patterns […]

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Manipulation of Phytohormonal Production by Methylobacterium extorquens

TerraVerdae Bioworks is working with a type of bacteria that is able to metabolize methanol, converting it into a bioplastic. TerraVerdae is focusing its commercial operations on bioplastic production but is interested in identifying other bioproducts that can also be produced. It is known that this type of bacteria forms a symbiotic relationship with plants, […]

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Development of a Decision Support System for FTTH Installations

In preparation for increasing its deployment of last-mile fibre, TELUS has engaged the University of Alberta to study the most efficient and cost-effective installation methods for Fibre-to-the-Home (FTTH) deployment where there are no existing telecommunications rights of way. The methods we will explore are divided into two categories: 1.) Direct Buried Methods (micro-trenching, Horizontal Directional […]

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