161.324 Data Mining (15 credits)

A practical approach to data mining with real life applications and case studies; analysis of moderate to large volumes of data; data warehousing and cleansing; descriptive and predictive modelling; classification and regression trees; neural networks; memory-based reasoning; dimension reduction; cluster analysis including self-organising maps; ensemble models with hybrid, bagging and boosting; basics of text mining; rare event prediction and time oriented analysis; extensive use of modern data mining software tools.

Note(s): Access to a Windows PC is required for analysis of data.

Requirements Requirements help

Offerings Offerings help

Year Semester Mode Location
2017 Semester one full semester Block Auckland Campus
2018 Semester one full semester Block Auckland Campus

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