Types of data mining: classification, clustering, association, prediction. Processes: data preparation, model building. Techniques: decision tree, neural network, evolutionary computing, Bayesian network. Applications: multi-media, text and web mining.
This course may not be repeated for credit.
Sections
This course will be offered next in
Fall 2018.