Practical Data Mining - COMP321 (2018)

This paper is a practical introduction to data mining. It covers important aspects of the data mining process such as feature selection, model building, parameter tuning and final evaluation.

Paper Information

Points: 20.0
Prerequisite(s): (COMP103 or ENGG182) and 20 points at 200 level in Computer Science
Internal assessment / examination: 2:1
Restriction(s): STAT321

Semesters and Locations

Occurrence Code When taught Where taught
18B (HAM)B Semester : Jul 09 - Nov 04, 2018 Hamilton
18B (TGA)B Semester : Jul 09 - Nov 04, 2018 Tauranga

Timetabled Lectures for Practical Data Mining (COMP321)

DayStartEndRoomDates
COMP321-18B (HAM)
Mon5:00 PM6:00 PMS.G.02Jul 9 - Oct 14
Wed12:00 PM1:00 PMS.G.02Jul 9 - Oct 14
COMP321-18B (TGA)
Mon5:00 PM6:00 PMTGA.DT.403Jul 9 - Oct 14
Wed12:00 PM1:00 PMTGA.DT.403Jul 9 - Oct 14

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMP321 for more details


Indicative Fees for Practical Data Mining (COMP321)

Occurrence Domestic International
 Tuition Resource 
18B (HAM) $1154 $0 $4716
18B (TGA) $1154 $0 $4716
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 2017 paper outlines are available for COMP321. Please contact the Faculty or School office for details on 2018 outlines.

Additional Information

Available Subjects:  Computer Science | Applied Computing | Data Analytics | Statistics

Other available years: Practical Data Mining - COMP321 (2017)

Paper details current as of : 19 January 2018 11:30am
Indicative fees current as of : 20 January 2018 4:30am

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