COMPX205

Data Mining

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
23A (HAM)A Trimester : 27 Feb 2023 - 25 Jun 2023 Hamilton
23A (TGA)A Trimester : 27 Feb 2023 - 25 Jun 2023 Tauranga

Timetabled Lectures

The Timetable for 2023 is not available.


Indicative Fees

Fees for 2023 are not yet available.


Paper Outlines

The following 2022 paper outlines are available for COMPX205. Please contact the Faculty or School office for details on 2023 outlines.

Additional Information

Available Subjects:  Applied Computing | Computer Science

Other available years: Data Mining - COMPX205 (2022) , Data Mining - COMPX205 (2021)

Paper details current as of : 9 August 2022 10:06am
Indicative fees current as of : 10 August 2022 4:30am

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