I feel the experience of participating at SAS Global Forum year after year is like relishing a warm brownie! It’s the same treat but a unique experience every time. Subtle changes in the ingredients can lead to a unique and enhanced flavor. The team behind the scenes works hard to ensure that SAS users experience a new flavor each time they attend the conference. My goal through this series is to give you a taste of the most delicious in the form of paper winners from the previous year, along with a sampling of what’s coming this year through our new sections and their descriptions.
If this is the first time you are reading my series, welcome! You can catch up on the previous posts and read the paper winners’ stories on Snapshot of the Best Papers of 2010. The spotlight this week shines on David Dobson with his winning presentation Segmenting Textual Data for Automobile Insurance Claims in the Data Mining and Predictive Modeling section. In the spirit of adjusting the ingredients and enhancing the flavor, the section name has been modified to Data Mining and Text Analytics. Tyler Smith (DoD Center for Deployment Health Research) heads this section this year. Keeping with the changing times, the focus this year is to combine statistical, economic and forecasting techniques to use a multitude of SAS tools to solve problems in today's economic environment. Special consideration will be given to those presentations using real-world data, both structured and unstructured.
I reached out to David Dobson to discover the recipe of his success. Dobson is the President and CEO at Dobson Analytics. Here’s what he had to say:
Continue reading "Data Mining and Text Analytics: Segmenting Textual Data for Automobile Insurance Claims"
Dr. Tyler Smith, Section Co-Chair for the Statistic & Data Analysis section, talks about how papers are selected, when you need to get started and tips on getting your paper accepted at SAS Global Forum.