CSE5230

Data mining

(IT)

D Squire

6 points + 2-hour lecture and 2-hour tutorial per week + Second semester + Caulfield + Prerequisites: COT4230 or equivalent level of knowledge + Prohibition: COT5230

Synopsis: Applications of database and semantics, information filtering and pattern recognition techniques for the exploration of data in databases. Tools including Kohonen filtering, minimum message length classification and genetic algorithms. Statistical methods including moment measures, multiple regression, significance testing and harmonic analysis. Data quality. The expression of rules using a logic representation language is coupled with a study of basic linguistic semantics for quantifying user research dialogues.

Assessment: Assignments/Research paper: 100%