Mar 29, 2024  
2017-2018 Graduate Catalog 
    
2017-2018 Graduate Catalog [ARCHIVED CATALOG]

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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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