Academic Item Menu

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 Application: association rules, mining spatial databases, mining multimedia databases, web mining, mining sequence and time-series data, text mining, etc. The lecture materials will be complemented by projects /assignments.
Study Level

Postgraduate

Offering Terms

Term 1

Campus

Kensington

Indicative contact hours

4

Conditions for Enrolment

Prerequisite: COMP9020 and COMP9024 and COMP9311

Course Outline

To access course outline, please visit:

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

Helpful utilities like sharing or printing this page
Share Link via Email
Download PDF