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.
|Prerequisite(s):||(COMP103 or ENGG182) and 20 points at 200 level in Computer Science|
|Internal assessment / examination:||67:33|
|Restriction(s):||STAT321 and COMPX305|
Trimesters and Locations
|Occurrence Code||When taught||Where taught|
|18B (HAM)||B Trimester : 9 Jul 2018 - 4 Nov 2018||Hamilton|
|18B (TGA)||B Trimester : 9 Jul 2018 - 4 Nov 2018||Tauranga|
The Timetable for 2018 is not available.
Indicative Fees for Practical Data Mining (COMP321)
Other available years: Practical Data Mining - COMP321 (2017)
Paper details current as of : 26 May 2020 8:32am
Indicative fees current as of : 31 January 2020 4:26pm