Data Mining (3804ICT)

Data Mining and analysis: Data mining algorithms, Associative and sequential patterns, Market basket analysis, Bayesian modeling and maximum likelihood estimation techniques. Application of supervised learning methods, correlation analysis, linear regression, modeling spatial and temporal data such as via hidden Markov models, data visualisation. Pre-Requisite: 1808ICT/2804ICT Discrete Structures and 2802ICT Intelligent Systems

Course study information

Credit points (awarded)

10 (10)

Study level

Undergraduate

Student contribution band

Band 2

Usually available

Gold Coast Trimester 2

Course offerings and timetables

Convenor

Key dates

Course start date
8 July 2019
Last day to add a course
21 July 2019
Last day to drop a course without financial penalty (Census date)
4 August 2019
Last day to drop a course without academic penalty
8 September 2019
Prerequisite: 2802ICT Intelligent Systems and either 1808ICT Discrete Structures or 2804ICT Discrete Structures

Please view the full class and additional timetable information for School of Information and Communication Technology

Class Availability When Where Notes
You must attend this Lecture
Lecture (41218) Open Tuesday 10:00 - 11:50
Weeks 1 - 5, 6 - 12
G42 1.04
Griffith Business School
Gold Coast Campus
Class Availability When Where Notes
You must attend this Computer Laboratory
Computer Laboratory (45755) Tuesday 12:00 - 13:50
Weeks 2 - 5, 6 - 12
G06 1.22
Academic 2
Gold Coast Campus