JCU Australia logo

Subject Search

CP3300 - Knowledge Discovery and Data Mining

Credit points: 3
Year: 2014
Student Contribution Band: Band 2
Administered by: School of Business (pre 2015)

This subject is an introduction to principles, techniques and applications of data mining and knowledge discovery. This subject covers a broad spectrum of data mining encompassing the basics of data mining, knowledge discovery in databases, preprocessing, data warehousing, scalable clustering, classification, ensemble, exploratory data analysis, market basket analysis, association rules mining and domain specific applications.

Learning Outcomes

  • Understand the working principles of data mining and knowledgge discovery in databases;
  • Develop data mining techniques using C++/Java;
  • Analyse large datasets using data mining techniques;
  • Use contemporary data mining suites.
Prerequisites: CP1500 AND 12 CREDIT POINTS OF CP SUBJECTS
Inadmissible
Subject
Combinations:
CP5605 CP5634

Availabilities

Townsville, Internal, Study Period 2
Census Date 28-Aug-2014
Coordinator: Dr Joanne Lee
Lecturer: Assoc. Professor Hossein Ghodosi.
Workload expectations:
  • 26 hours lectures
  • 12 hours tutorials
Assessment: end of semester exam (50%); presentations (10%); assignments (20%); report (20%).

Cairns, Internal, Study Period 2
Census Date 28-Aug-2014
Coord/Lect: Dr Joanne Lee.
Workload expectations:
  • 26 hours lectures
  • 12 hours tutorials
Assessment: end of semester exam (50%); presentations (10%); assignments (20%); report (20%).

JCU Singapore, Internal, Study Period 52
Census Date 17-Jul-2014
Coordinator: Dr Joanne Lee, Dr Insu Song
Lecturer: Ms Sithira Vadivel.
Workload expectations:
  • 26 hours lectures
  • 12 hours tutorials
Assessment: end of semester exam (50%); presentations (10%); assignments (20%); report (20%).

Beijing UT, Internal, Study Period 68
Census Date 29-May-2014
Coordinator: Professor Ickjai Lee
Workload expectations:
  • 26 hours lectures
  • 12 hours tutorials
Assessment: end of semester exam (50%); presentations (10%); assignments (20%); report (20%).

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.