Matthew Denesuk

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The social Customer Relationship Management (CRM) landscape is attracting significant attention from customers and enterprises alike as a sustainable channel for tracking, managing and improving customer relations. Enterprises are taking a hard look at this open, unmediated platform because the community effect generated on this channel can have a telling(More)
In gene expression analysis it is often the goal to predict survival given a high-dimensional space of covariates. In corresponding literature models are described that deal with low sample size which is a typical feature of such studies. This is also the case in asset management services where downtime of assets is very costly and thereby replacements are(More)
We present a comprehensive approach for leveraging sensor networks in order to improve HVAC (Heating, Ventilation, and Air Conditioning) services in terms of occupants preferences as well as sustainability. A two-step approach is presented with a data-driven model estimation for each HVAC configuration and an optimization step taking into account dynamic(More)
We propose to demonstrate a system that helps enterprises manage their social Customer Relationship Management (CRM) presence. Our system performs deep analytics over consumer posts and authors to help companies monitor their CRM presence, and to identify and respond to actionable posts. In this paper we share challenges and experiences in building this(More)
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