Increasing Marketing Campaign Performance Using Influential Users in Social Networks

Social networks have become an important information hub with a huge customer base. Hence businesses are trying to leverage social networks in their advertising and marketing campaigns. One of the advantages of social networks is that users can influence their community and friends. Detecting influential users provides multiple benefits for businesses such as more effective […]

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Design and Implementation of a Framework for Performance Management in Service Oriented Virtual Organizations

  In this research, we propose a framework for performance management in virtual organizations (VOs) equipped with service oriented architecture (SOA). This framework enables networks of organizations to evaluate and manage their collaboration performance and also to align and coordinate their various goals and objectives. Distributed management of VO will be enhanced to reduce the […]

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Towards a utility framework for enterprise business intelligence mashups

The objective of this research project is to determine the efficacy of enterprise mashups in the realm of business intelligence. Based on a deliberation of enterprise and end-user requirements for BI Mashups technologies and services, this project aims to formulate a utility framework for enterprise BI Mashups. The framework is expected to advance an understanding […]

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An Integrated Approach using Process Models and Business Analytics for Efficient Delivery of Patient Care

The use of business process modeling (BPM) and analytics has demonstrated exceptional results in improving efficiency and effectiveness in various industries. Health care processes however, are characterized by uncertain, exception and continual evolution. This project aims to apply flexible, adaptive and evolutionary process modeling protocols coupled with operations research and other analytic methods to the […]

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An Integrated Technology Architect for Real Time Care Process Management

Patients are facing excessive wait times at hospitals, especially within Emergency Departments. Long wait times expose patients to unnecessary risks, and are very costly to hospitals. In addition, a number of governmental and medical guidelines impose limits on patient wait times. This has prompted hospitals to explore technologies that can enhance patients flow and reduce […]

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Personal Analytics to Enhance Smarter Commerce

Personal analytics refers to a recent trend where individuals wish to collect, analyze and visualize personal information so that they can gain knowledge about one’s behaviours, habits and thoughts in the context of their personal goals. The trend of self-tracking is rapidly increasing as people are becoming smarter about choices available to them, and seek […]

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Usability analysis and guideline development for user interface design in a public health information system

The design of usable public health information systems is critical in areas such as healthcare. In this project an analysis of the usability of a pan-Canadian public health information system will be conducted. The approach will involve application of usability engineering methods to identify issues and areas where the system’s user interface could be modified […]

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Personalization of Web Tasking

A web task is defined as the set of services, sessions, and sequence of interactions that are required to perform a certain user objective. The current Web tasking model does not consider user preferences and context when executing a Web task. The proposed research project aims to improve the experience of Web users through personalization […]

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Development and Implementation of a Water Analytics Framework: Intelligent Operations for Water (IOW)

Within a watershed, data are collected on various aspects of water (amount, withdrawals, returns, contaminant concentrations) by multiple groups, yet rarely shared at the basin scale. To reduce data “siloing” and make collected data available to multiple users interested in water management within a watershed context, data from multiple sources must be combined. Advancing Canadian […]

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Learning tools to predict treatment responses for schizophrenia from neuroimaging data

Schizophrenia is a chronic mental disorder associated with a significant health, social and financial burden, not only for patients but also for their families, and society. However, the current treatment methods have been only partially successful, mainly due to the inter-individual differences between patients, which means that a treatment that is successful for one patient, […]

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