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Nov 22, 2024
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2016-2018 Graduate Catalog [ARCHIVED CATALOG]
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BIA 6301 - Applied Data Mining
(2)
The course provides a comprehensive overview of data mining techniques used to realize unseen patterns, including traditional statistical analysis and machine learning techniques. Students will analyze large datasets and develop modeling solutions to support decision making in various domains such as healthcare, finance, security, marketing, customer relationship management (CRM). Models will include decision trees, clustering, classification, k-means, neural nets, support vector machines, ensemble methods and other supervised and unsupervised predictive models primarily for structured data. Students will also learn how to apply these models into production through business rules and SQL. Statistics and exposure to any programming language is required. The primary software tool for this class will be R.
Prerequisite: BIA 6300 , BIA 6311 .
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