Data Stream Mining - COMPX523 (2020)
Data streams are everywhere, from F1 racing over electricity networks to news feeds. Data stream mining relies on and develops new incremental algorithms that process streams under strict resource limitations.
|Prerequisite(s):||COMPX305 or COMPX310 or COMP316 or COMP321 and a further 30 points at 300 level in Computer Science|
|Internal assessment / examination:||100:0|
Semesters and Locations
|Occurrence Code||When taught||Where taught|
|20A (HAM)||A Semester : 2 Mar 2020 - 28 Jun 2020||Hamilton|
Timetabled Lectures for Data Stream Mining (COMPX523)
|Mon||9:00 AM||10:00 AM||G.1.15||Mar 2 - May 31|
|Thu||10:00 AM||11:00 AM||G.1.15||Mar 2 - Jun 7|
NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMPX523 for more details
Indicative Fees for Data Stream Mining (COMPX523)
The following 2019 paper outlines are available for COMPX523. Please contact the Faculty or School office for details on 2020 outlines.
Other available years: Data Stream Mining - COMPX523 (2019)
Paper details current as of : 20 January 2020 2:00pm
Indicative fees current as of : 12 November 2019 11:10am