Our Wellington and Manawatū campuses are open, Auckland remains closed at AL3. More information.
BackProgrammes and courses
- Programmes and courses
- Search for a programme
- Search for a course
- All programmes
- Student Information Books
- Short courses
- Semester and examination dates
- Why choose Massey?
- 2022 Programme guides
- Academic Advice
- Planning your study
161.777 Practical Data Mining (15 credits)
A practical approach to data mining with large volumes of complex data; prepare, cleanse and explore data; supervised and unsupervised modelling with association rules and market basket analysis, decision trees, multi-layer neural networks, k-nearest neighbours, k-means clustering and self-organising maps, ensemble and bundling techniques, text mining; use of leading software tools; business examples and research literature.
Note(s): Access to a Windows PC is required for analysis of data.
Note: You may enrol in a postgraduate course (that is a 700-, 800- or 900-level course) if you meet the prerequisites for that course and have been admitted to a qualification which lists the course in its schedule.
|2021||Semester One full semester||Block||Auckland Campus|
|2021||Semester One full semester||Distance|
|2022||Semester One full semester||Block||Auckland Campus|
|2022||Semester One full semester||Distance|
Page authorised by Director, Student Administration