Data Mining II
STA-546LEC-0
University at Buffalo
- Semester
- Spring 2025
- Instructor
- Rachael Hageman Blair
- Start Date
- 01-22-2025
- Total Credits
- 3
- Call to Register
- 716-645-5698
Take your class online with SUNY
You will learn the same curriculum as our on-campus students
This course presents the topic of data mining from a statistical perspective, with attention directed towards both applied and theoretical considerations. An emphasis will be placed on unsupervised learning methods; designed to discover and model patterns in data. Applications to high-dimensional data and big data will be highlighted. Topics include: Market basket analysis, generalized association rules, recommender systems, hierarchical and prototype-based clustering, self organizing maps, model selection, factor analysis, data visualization, probabilistic graphical models with a focus on Bayesian Networks and Gaussian Graphical Models. This course includes online computational labs, which demonstrate methods and concepts in R, using real data.
Course Area: Statistics
Level: Graduate
Dates: 01-22-2025 - 05-06-2025
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- Instructor: Rachael Hageman Blair
- Local Course ID: 25SP_BUF_STA546_LEC0000
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