Data Stream Mining - COMPX523 (2023)
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.
Paper Information
| Points: | 15.0 |
|---|---|
| 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 |
| Restriction(s): | COMP423, COMP523 |
Trimesters and Locations
| Occurrence Code | When taught | Where taught |
|---|---|---|
| 23A (HAM) | A Trimester : 27 Feb 2023 - 25 Jun 2023 | Hamilton |
Timetabled Lectures
The Timetable for 2023 is not available.
Indicative Fees
Fees for 2023 are not yet available.
Paper Outlines
The following 2022 paper outlines are available for COMPX523. Please contact the Faculty or School office for details on 2023 outlines.
Additional Information
Available Subjects: Artificial Intelligence | Computer Science | Electrical and Electronic Engineering | Electronic Engineering | Software Engineering
Other available years: Data Stream Mining - COMPX523 (2022) , Data Stream Mining - COMPX523 (2021) , Data Stream Mining - COMPX523 (2020) , Data Stream Mining - COMPX523 (2019)
Paper details current as of : 19 August 2022 4:03pm
Indicative fees current as of : 20 August 2022 4:30am