CSE3212 - Data mining

Leader: Maria Indrawan, Bala Srinivisan

Offered

Caulfield Second semester 2007 (Evening)

Synopsis

This subject provides an overview of the techniques used to search for knowledge within a data set using both supervised and unsupervised learning. The techniques include Classification, Prediction, Clustering, Association discovery, Time sequence discovery, Sequential pattern discovery, Visualization, Statistical Methods, Decision Trees, Rule based methods, Neural networks, Machine learning, Genetic Algorithms and Fuzzy Systems. Students will be able to choose an appropriate technique to suit a particular situation.

Assessment

Practical Assignments 40%, Examination (2 hours)

Prerequisites

COT2132 or CSE2132 or equivalent.

Prohibitions

CSE5230