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Mar 29, 2024
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CS 556 - Data Mining (On reserve as of 9/16/15) Description: Introducing concepts, models, algorithms, and tools for solving data mining tasks; decision trees, time series, Bayesian methods, k-nearest neighbors, and relational databases. CS 456 and CS 556 are layered courses; students may not receive credit for both. Put on reserve 9/16/15. Will go inactive 8/24/18.
Prerequisites: Prerequisite: CS 529.
Credits: (4)
Learner Outcomes: Upon successful completion of this course, the student will be able to:
- Characterize specific data mining tasks.
- Use computational techniques to solve training, testing and validation data from raw data.
- Design and implement operational knowledge models of fundamental and advanced data mining algorithms.
Learner Outcomes Approval Date: 2/17/11
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