|School or Department :||School of Mathematics, Physics & Computing|
|Grading basis :||Graded|
|Course fee schedule :||https://www.unisq.edu.au/current-students/administration/fees/fee-schedules|
|Version produced :||22 March 2023|
Pre-requisite or Co-requisite: (STA2300 or STA1003 or STA8170 or STA6200) and (CSC1401 or CSC5020)
Data mining is an interdisciplinary field which brings together techniques of machine learning, database, information retrieval, mathematics and statistics. These techniques are used to find useful patterns in large datasets. Methods for such knowledge discovery in data bases are required owing to the size and complexity of data collection in administration, business and science.
Data mining aims at finding useful regularities or patterns in large data sets generated in modern management and science. This course covers the main data mining methods, including clustering, classification, association rules mining, and recent techniques for data mining. The methods are developed and applied to various data sets.
|Semester 1, 2023||On-campus||Toowoomba|
|Semester 1, 2023||Online|