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): 15 points from any MATHS or STATS 100 level papers or ENGEN102
Internal assessment / examination: 67:33

Trimesters and Locations

Occurrence Code When taught Where taught

COMPX205-23A (HAM), 23A (TGA) have been cancelled. Please contact the School or Faculty Office for more information.

Cancelled Occurrences

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

Timetabled Lectures for Data Mining (COMPX205)

There are no timetabled lectures for 2023 occurrences of COMPX205 in 2023.

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMPX205 for more details


Indicative Fees for Data Mining (COMPX205)

Occurrence Domestic International
 Tuition Resource 
Fees Not Available
You will be sent an enrolment agreement which will confirm your fees.
Tuition fees shown below are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

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 : 7 December 2022 9:58am
Indicative fees current as of : 8 December 2022 4:32am

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