Knowledge Discovery and Data Mining (COMP5318)
UNIT OF STUDY
Knowledge discovery is the process of extracting useful knowledge from data. Data mining is a discipline within knowledge discovery that seeks to facilitate the exploration and analysis of large quantities for data, by automatic and semiautomatic means. This subject provides a practical and technical introduction to knowledge discovery and data mining.
Objectives: Topics to be covered include problems of data analysis in databases, discovering patterns in the data, and knowledge interpretation, extraction and visualisation. Also covered are analysis, comparison and usage of various types of machine learning techniques and statistical techniques: clustering, classification, prediction, estimation, affinity grouping, description and scientific visualisation
Our courses that offer this unit of study
- Bachelor of Information Technology
- Bachelor of Information Technology and Bachelor of Arts
- Bachelor of Information Technology and Bachelor of Commerce
- Bachelor of Information Technology and Bachelor of Laws
- Bachelor of Information Technology and Bachelor of Medical Science
- Bachelor of Information Technology and Bachelor of Science
- Graduate Certificate in Information Technology
- Graduate Certificate in Information Technology Management
- Graduate Diploma in Information Technology
- Graduate Diploma in Information Technology Management
- Master of Information Technology
- Master of Information Technology Management
- Master of Information Technology and Master of Information Technology Management
Further unit of study information
Lecture 2 hrs/week; Tutorial 1 hr/week.
Through semester assessment (40%) Final Exam (60%)
P.-N. Tan, M. l. Steinbach and V. Kumar/Introduction to Data Mining/2006/0-321-32136-7//
Faculty/department permission required?
Unit of study rules
Prerequisites and assumed knowledge
INFO9120 OR COMP5138
Study this unit outside a degree
If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student.
If you are from another Australian tertiary institution you may be permitted to underake cross-institutional study in one or more units of study at the University of Sydney.