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Overview

Data Warehouse: (a) Data Model for Data Warehouses. (b) Implementing Data Warehouses: data extraction, cleansing, transformation and loading, data cube computation, materialized view selection, OLAP query processing. Data Mining: (a) Fundamentals: data mining process and system architecture, relationship with data warehouse and OLAP systems, data pre-processing. (b) Mining Techniques and … For more content click the Read More button below.

Conditions for Enrolment

Prerequisite: (COMP2521 or COMP1927) and COMP3311 and MATH1081

Course Outline

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Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)