Practical Data Mining - COMPX305 (2020)
This paper introduces students to techniques for automatically finding and exploiting patterns in datasets, covering basic techniques applied in data analytics, data mining, machine learning, and big data. The well-known, locally-made Weka software will be used as the software environment for this paper.
Paper Information
| Points: | 15.0 |
|---|---|
| Prerequisite(s): | (At least one of COMPX101, ENGEN103, COMP103, or ENGG182), (at least one of STATS111, STATS121, STAT111, STAT121), and 30 points at 200 level in Computer Science. |
| Internal assessment / examination: | 100:0 |
| Restriction(s): | COMP321 |
Trimesters and Locations
| Occurrence Code | When taught | Where taught |
|---|---|---|
| 20B (HAM) | B Trimester : 13 Jul 2020 - 8 Nov 2020 | Hamilton |
| 20B (TGA) | B Trimester : 13 Jul 2020 - 8 Nov 2020 | Tauranga |
Timetabled Lectures
The Timetable for 2020 is not available.
Indicative Fees for Practical Data Mining (COMPX305)
| Occurrence | Domestic | International | |
|---|---|---|---|
| Tuition | Resource | ||
| 20B (HAM) | $900 | $3824 | |
| 20B (TGA) | $900 | $3824 | |
Paper Outlines for Practical Data Mining (COMPX305)
The following paper outlines are available for Practical Data Mining (COMPX305).
If your paper occurrence is not listed contact the Faculty or School office.
Additional Information
Available Subjects: Applied Computing | Computer Science | Data Analytics
Other available years: Practical Data Mining - COMPX305 (2019)
Paper details current as of : 21 March 2023 10:02am
Indicative fees current as of : 29 March 2023 4:30am