Data Mining - COMPX205 (2021)
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 |
|---|---|---|
| 21A (HAM) | A Trimester : 1 Mar 2021 - 27 Jun 2021 | Hamilton |
| 21A (TGA) | A Trimester : 1 Mar 2021 - 27 Jun 2021 | Tauranga |
Timetabled Lectures
The Timetable for 2021 is not available.
Indicative Fees for Data Mining (COMPX205)
| Occurrence | Domestic | International | |
|---|---|---|---|
| Tuition | Resource | ||
| 21A (HAM) | $910 | $3939 | |
| 21A (TGA) | $910 | $3939 | |
Paper Outlines for Data Mining (COMPX205)
The following paper outlines are available for Data Mining (COMPX205).
If your paper occurrence is not listed contact the Faculty or School office.
Additional Information
Available Subjects: Applied Computing | Computer Science
Other available years: Data Mining - COMPX205 (2023) , Data Mining - COMPX205 (2022)
Paper details current as of : 21 March 2023 10:02am
Indicative fees current as of : 29 March 2023 4:30am