CS 545 Machine Learning for Data Mining
Study of algorithms and computational paradigms that allow computers to find patterns and regularities in data, perform prediction and forecasting, and generally improve performance through interaction with data. The course covers fundamental Data Mining and Machine Learning methods for data preprocessing, knowledge representation and visualization, classification, prediction and clustering. Important applications such as Data Warehousing, Association Mining, Text and Web Mining are also discussed. The students use current Data Mining software.
Credits
3
Prerequisite
CS 501 or admission to the Data Mining or Software Engineering MS program.