31250 Data Mining and Knowledge Discovery
6cpRequisite(s): 31271 Database Fundamentals OR 31061 Database Principles OR 31474 Database Fundamentals OR 31487 Database Management Systems
Recommended studies: knowledge of database technologies
Undergraduate
Data mining is the art and science of turning large quantities of usually incomprehensive data into meaningful and commercially valuable information. It is the basis of modern computer analytics and intelligence. It includes a number of IT areas, such as statistical methods for identifying patterns in data and making inferences; database technologies for managing the data sets to be mined; a range of intelligent technologies that derive automatically patterns from data; and visualisation and other multimedia techniques that support human pattern discovery capabilities. This subject offers the foundations of data mining and knowledge discovery methods and their application to practical problems. It brings together the state-of-the-art research and practical techniques in data mining, providing students with the necessary knowledge and capacity to initiate and conduct data mining research and development projects, and professionally communicate with analytics experts.
Detailed subject description.
Fee information
2010 contribution for commencing Commonwealth-supported students: $945
Note: Students who commenced prior to 1 January 2010 should consult the student contribution charges for Commonwealth-supported students
Not all students are eligible for Commonwealth-supported places.
2010 amount for undergraduate domestic fee-paying students: $2769
Note: Fees for postgraduate domestic fee-paying students and international students are charged according to the course they are enrolled in. Students should refer to the annual fees schedule.
Subject EFTSL: 0.125