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: 67:33
Restriction(s): COMP321

Semesters and Locations

Occurrence Code When taught Where taught
20B (HAM)B Semester : 13 Jul 2020 - 8 Nov 2020 Hamilton
20B (TGA)B Semester : 13 Jul 2020 - 8 Nov 2020 Tauranga

Timetabled Lectures

The Timetable for 2020 is not available.


Indicative Fees

Fees for 2020 are not yet available.


Paper Outlines

The following 2019 paper outlines are available for COMPX305. Please contact the Faculty or School office for details on 2020 outlines.

Additional Information

Available Subjects:  Applied Computing | Computer Science | Data Analytics

Other available years: Practical Data Mining - COMPX305 (2019)

Paper details current as of : 3 September 2019 10:51am
Indicative fees current as of : 29 July 2019 3:04pm

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