Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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| CE_06C | Sat, 8/2/2014, 8:30 AM - 5:00 PM | CC-159 | |
| Applied Text Mining and Unstructured Data Analysis — Professional Development Continuing Education Course | |||
| ASA | |||
| In many organizations, the majority of stored data is in the form of unstructured text. We will provide an overview of new, easily-implemented, methods to find previously unknown relationships from a collection of text documents. Data mining techniques are explored with text from sources such as email, survey comments, incident reports, free-form data fields, websites, research reports, blogs, and social media in order to discover potentially useful and actionable business insights. We will provide demonstrations using data sets with applications to fraud detection, accident investigations, auto insurance policies, aviation, medical, sports and other meaningful case studies applicable to ASA researchers. This is a hands-on workshop where participants are guided through end-to-end examples starting from assembling disparate text sources, followed by creating a structured database, reducing the dimensionality of the problem with a rank-reduced singular value decomposition, and concluding by applying data mining methods such as decision trees, regression, and cluster analysis to discover useful relationships. While relevant theory will be addressed, the focus will be an appreciation for the practical application of text mining to real-world applications. We will demonstrate the use of SAS TextMiner, Statistica, and an application of the JMP scripting language with an interface to R. | |||
| Instructor(s): James Wisnowski, Adsurgo | |||
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
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