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Seminar - MINING AND VISUALIZING SOCIAL NETWORK DATA
(2:30 pm - 4:00 pm)
Abstract: Social Network data analysis has become both an important research topic as well as a tool of modern business. We’ll discuss the characteristics of three major components of social data analysis: the acquisition, clustering and map/reducing, and visualization of data. Examples of benefits and drawbacks of various clustering algorithms and forms of visualization will be discussed, and we’ll present a workflow that shows off several of these techniques.
BIG DATA ANALYTICS FOR RISK ENGINEERING
Risk Engineering is the discipline of utilizing predictive
analytics and real-time market data to design portfolios of risk that
target specific economic goals while satisfying regulatory, market, and
other constraints. Risk Engineering is used by insurance and reinsurance
companies as part of their strategic planning and execution. Analytical
processes around Risk Engineering are data-driven and computationally
intensive. Analyze Re provides Software-as-a-Service solutions for Risk
Engineering to the insurance and reinsurance industry. This talk provides
an overview of the computational challenges that are involved in Risk
Engineering applications and discusses how some of them are being solved
with today's technologies.
Computer Science CO-OP Showcase
(2:30 pm - 4:30 pm)
Come hear from students who have just finished summer work terms and find out what it’s really like to work in your field!
Computer Science Seminar
Colibri is a Ruby on Rails company that is developing a geo-located product, Strollopia, which is available in Beta on Android (iOS coming soon). This product will allow simple building and sharing of mapping data. It has a rich API which allows programmers the freedom to build apps that take advantage of it, and it has a mobile presentation layer that delivers content based on location.