Using Text Mining Techniques to Analyze Notes in Financial Statements

Firms meet legally established accounting rules by including notes in financial statements that essentially hide key information in plain sight. That is, they contain information necessary to understand the statements, but due to the volume of notes and arcane language may be uninterpretable by even lawyers. However, these notes may be interpretable by a software […]

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Facilitating Discovery of Books Through Proactive User Cues

Search and recommendations drive the majority of sales at KOBO. It is therefore critical to continually improve and tune these algorithms. Our project will explore several questions dealing with integrating information provided by users in order to optimize search and recommendation algorithms: how to integrate user-generated tags in order to enhance search (rather than simply […]

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Data Driven CRM Optimization for eReading

During the duration of the proposed project, the intern will become a member of the partner organization’s “Big Data” team, participating in all team activities, and completing research-oriented work for the team. The intern will complete research that will explore and improve upon previous methods of intelligently communicating with customers through personalized emails. This may […]

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Enhancing Operational Interoperability for Information Exchange in the Pork Industry

Information and Communication Technologies (ICT) adoption in livestock production landscape has been transformative and has led to a fundamental need for sophisticated data management and exchange solutions. Building an interoperable data management system requires an understanding of data context, stakeholders’ needs, data usage conditions, as well as contractual and legal requirements. Only through understanding the […]

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Augmented Reality in Surgery

Augmented Reality (AR) is the combination of virtual images with real objects in order to improve perception. It is a rapidly growing field and has many applications in medicine. For this research project we would like to apply AR to the surgical site during a simulated operation in order to provide additional information and improve […]

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Agent TALStat

Amélioration des performances et du processus de mise-au-point d’agents virtuels (AV) selon une approche hybride combinant du traitement automatique de la langue ou TAL (natural language processing), de l’apprentissage statistique (machine learning) et du génie cognitif à base de règles (les outils et API de Coginov). Notamment, nous expérimenterons l’utilisation de synonymes en contexte et […]

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Improving the Performance of Java Virtual Machine (JVM) Garbage Collection using Transactional Memory

As the multi-processing power of computers continues to grow, traditional methods of memory management become more and more problematic. The purpose of this project is to quantitatively analyze existing memory management tactics to determine whether they can be improved using techniques that take advantage of modern hardware, or instead, whether brand new methods for managing […]

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Creation of arbitrary geometric shapes for pellet packing optimization

The demand for renewable and clean energy alternatives is steadily increasing due to the cost and environmental concerns of traditional fossil-based fuels. Wood pellet fuel is one such renewable alternate energy source, manufactured by Pacific Bioenergy, Prince George, BC. These wood pellets are transported via rail and subsequently loaded onto vessels for trans-ocean shipment. The […]

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Dynamic clustering of temporally incremental energy consumption patterns in a knowledge cloud

This project will develop a new mechanism for grouping objects in a dynamic environment, where new objects are regularly added with limited or incomplete information. Furthermore, the information about the existing and new objects increases over time. This new grouping mechanism will be called dynamic clustering of temporally incremental patterns. The proposal will be tested […]

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Generating Insight for Continuing Care through Exploration of RAI-MDS Data with Data Analytics and Computational Mode

The Resident Assessment Instrument Minimum Data Set (RAI-MDS) is used by health authorities for collecting information about individuals in continuing care facilities. Collected quarterly, RAI-MDS records contain more than 500 data elements, including cognition, psychosocial well-being, health conditions, communication, physical function, and activity patterns. Because of this it has great potential for providing an incomparable […]

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Foundations for Geocontextualization

Urban design and development is an iterative process that involves community engagement and multiple feedback cycles. Advances in internet technologies and web mapping technologies has made it possible to display design plans on websites and to collect feedback on specific locations or aspects of the provided design. Using web mapping applications to feedback from the […]

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