This paper is a practical introduction to data mining using machine learning techniques. Students will gain hands-on experience using the Weka open-source machine learning software developed by the Department of Computer Science and used by companies and universities both in New Zealand and overseas.
|Prerequisite(s):||15 points from any MATHS or STATS 100 level papers or ENGEN102|
|Internal assessment / examination:||67:33|
Trimesters and Locations
|Occurrence Code||When taught||Where taught|
COMPX205-23A (HAM), 23A (TGA) have been cancelled. Please contact the School or Faculty Office for more information.
|23A (HAM)||A Trimester : 27 Feb 2023 - 25 Jun 2023||Hamilton|
|23A (TGA)||A Trimester : 27 Feb 2023 - 25 Jun 2023||Tauranga|
Timetabled Lectures for Data Mining (COMPX205)
There are no timetabled lectures for 2023 occurrences of COMPX205 in 2023.
NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMPX205 for more details
Indicative Fees for Data Mining (COMPX205)
|Fees Not Available|
Paper details current as of : 7 December 2022 9:58am
Indicative fees current as of : 8 December 2022 4:32am