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.

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

Semesters and Locations

Occurrence Code When taught Where taught
20A (HAM)A Semester : 2 Mar 2020 - 28 Jun 2020 Hamilton

Timetabled Lectures

The Timetable for 2020 is not available.


Indicative Fees

Fees for 2020 are not yet available.


Paper Outlines

The following 2019 paper outlines are available for COMPX523. Please contact the Faculty or School office for details on 2020 outlines.

Additional Information

Available Subjects:  Computer Science | Electrical and Electronic Engineering | Software Engineering

Other available years: Data Stream Mining - COMPX523 (2019)

Paper details current as of : 3 September 2019 10:51am
Indicative fees current as of : 29 July 2019 3:04pm

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