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SAS Day at UWGB 2016: May 5th and May 6th

Analytics: Big Data, Big Applications, and Big Brother!

SAS Speakers

André de Waal: Sr. Analytical Training Consultant

André de Waal received his Ph.D. in theoretical computer science from the University of Bristol during 1994. He spent the next year in Germany and Belgium continuing his research in Logic Programming and Automated Theorem Proving. During 1996 he returned to South Africa to take up his position as lecturer at the School of Computer Science and Information Systems at the then Potchefstroom University for Christian Higher Education (which later became the North-West University), where he was later promoted to Associated Professor. During 1999 he became one of the founder members of the Centre for Business Mathematics and Informatics at the same university. He became responsible for the Data Mining Program in the Centre and shifted his research focus to include Neural Networks and Predictive Modeling. He joined SAS Institute in Cary, NC during December 2010 to take up the position of Analytical Consultant in the Global Academic Program.

Presentation topic: GOP Presidential Candidates Debates Text Mining

Analyzing unstructured data from presidential debates using SAS Text Mining
SAS Text Miner can be used to uncover underlying themes or concepts contained in large document collections, automatically group documents into topical clusters, classify documents into predefined categories, and integrate text data with structured data to enrich predictive modeling endeavors. A transcript form a recent presidential debate will be analyzed with SAS Text Miner. The results from the analysis will be explained and compared to general comments made in the general media.

George Habek: Sr. Analytical Training Consultant

George has been using SAS for over twenty years, beginning with data processing and statistical analysis in an academic setting, then onto consulting and corporate work with the latest SAS products. In the consulting world, George has worn many hats, from analyst to project lead to manager. He has been involved in a range of projects across many industries such as Healthcare (Providers) for claim and disease mgmt & Life Sciences (Pharmaceutical) for physician drug acceptance, Automotive, Financial Services, Education, Gaming, Recreation, Restaurant/Food Service, Agriculture/Construction, and many more. His direct industry experience in Database Marketing covered a range of functional areas including Response Modeling, Customer Acquisition/Retention, Customer Profiling/Segmentation, Survey Analysis, and Forecasting. George holds a B. S. in Mathematics/Statistics from Loyola University Chicago and a M.S. (with distinction) in Applied Statistics from DePaul University Chicago.

Presentation topic: "Emergency! Don’t send that patient home!!"

Is that ER visit serious? If so, what's the cause? Will the patient be admitted? Answers to these questions will be revealed through an A to Z analysis ranging from data preparation to data mining and predictive modeling to visualization.

The scenario: The Vaccine Adverse Event Reporting System (VAERS) was created by the Food and Drug Administration (FDA) and Centers for Disease Control and Prevention (CDC) to receive reports about adverse events that may be associated with vaccines. Doctors and other vaccine providers are encouraged to report adverse events.
The challenge: Establish drivers for a condition being diagnosed as "serious" based on a set of attributes, and develop the likelihood of a serious condition.
The value: Better analytics and reporting helps keep vaccines safe for you and your family, and for everyone who receives vaccinations. Each VAERS report provides valuable information that helps FDA and CDC make sure that vaccines are safe.