Data Mining - COMPX205 (2022)

This paper is a practical introduction to data mining using machine learning techniques. Students will gain hands-on experience using the Weka open-source machine learning software developed by the Department of Computer Science and used by companies and universities both in New Zealand and overseas.

Paper Information

Points: 15.0
Prerequisite(s): (At least one of COMPX101, ENGEN103) and (at least one of STATS111 or STATS121).
Internal assessment / examination: 67:33
Restriction(s): COMPX305, STATS321

Trimesters and Locations

Occurrence Code When taught Where taught
22A (HAM)A Trimester : 7 Mar 2022 - 3 Jul 2022 Hamilton
22A (TGA)A Trimester : 7 Mar 2022 - 3 Jul 2022 Tauranga

Timetabled Lectures

The Timetable for 2022 is not available.


Indicative Fees

Fees for 2022 are not yet available.


Paper Outlines

The following 2021 paper outlines are available for COMPX205. Please contact the Faculty or School office for details on 2022 outlines.

Additional Information

Available Subjects:  Applied Computing | Computer Science

Other available years: Data Mining - COMPX205 (2021)

Paper details current as of : 16 September 2021 6:58pm
Indicative fees current as of : 17 September 2021 4:30am

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