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Data Mining - STAT828
Data Mining is emerging as an important analytical tool as organisations deal with increasingly large data sets. In particular, data mining is widely used in large insurance companies, market research organisations, banks and other financial institutions. This unit introduces relevant data mining techniques and the underlying algorithms and statistical principles. The applications will be demonstrated using two of the major data mining packages and interesting case studies.
Data Mining is about discovering patterns in the big data sets, and converting data into information. The emphasis is on the data and the ways to convert data into information.
| Credit Points: | 4 |
| When Offered: | E1 - Evening; Offered in Session 1, North Ryde |
| Staff Contact(s): | Dr Ayse Bilgin |
| Prerequisites: |
Admission to MAppStat or PGDipAppStat or PGCertAppStat |
| Corequisites: | |
| NCCW(s): | STAT820 |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
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