COMPX305

Practical Data Mining

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.

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
19B (HAM)B Semester : 8 Jul 2019 - 3 Nov 2019 Hamilton
19B (TGA)B Semester : 8 Jul 2019 - 3 Nov 2019 Tauranga

Timetabled Lectures

The Timetable for 2019 is not available.


Indicative Fees

Fees for 2019 are not yet available.


Paper Outlines

Paper outlines are currently not available for this paper. Please contact the Faculty or School office for further details.

Additional Information

Available Subjects:  Applied Computing | Computer Science | Data Analytics

Paper details current as of : 11 October 2018 3:33pm
Indicative fees current as of : 5 June 2018 4:30am

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