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CP5605 - Advanced Data Mining and Knowledge Discovery

Credit points: 3
Year: 2012
Student Contribution Band: Band 2
Administered by: School of Business

Topics include artificial intelligence techniques for data mining, dimension reduction methods and analytical methods for clustering and pattern detection.

Learning Outcomes

  • Understand the working principles of data mining and knowledge discovery in databases;
  • Develop data mining techniques using C++/Java;
  • Analyse large datasets using data mining techniques;
  • Use contemporary data mining suites;
  • Utilise practical examples of data mining.

Graduate Qualities

  • The ability to appraise information critically;
  • The ability to conceptualise problems;
  • The ability to plan, conduct and manage research in their discipline;
  • The ability to communicate the methodology, results and implications of their research in a manner appropriate to different purposes and audiences.
Assumed
Knowledge:
Basic knowledge of relational databases and proficiency in at least one programming language.
Inadmissible
Subject
Combinations:
CP3300

Availabilities

Cairns, Study Period 2, Internal
Census Date 23-Aug-2012
Coord/Lect: Professor Ickjai Lee.
Workload expectations:
  • 26 hours lectures
  • 12 hours tutorials
Assessment: end of semester exam (50%); presentations (10%); assignments (20%); report (20%).

JCU Brisbane, Study Period 21, Internal
Census Date 12-Apr-2012
Coordinator: Professor Ickjai Lee
Workload expectations:
  • 26 hours lectures
  • 12 hours tutorials
Assessment: end of semester exam (50%); presentations (10%); assignments (20%); report (20%).

JCU Brisbane, Study Period 23, Internal
Census Date 06-Dec-2012
Coordinator: Professor Ickjai Lee
Workload expectations:
  • 26 hours lectures
  • 12 hours tutorials
Assessment: end of semester exam (50%); presentations (10%); assignments (20%); report (20%).

JCU Singapore, Study Period 51, Internal
Census Date 22-Mar-2012
Coordinator: Professor Ickjai Lee
Workload expectations:
  • 26 hours lectures
  • 12 hours tutorials
Assessment: end of semester exam (50%); presentations (10%); assignments (20%); report (20%).

JCU Singapore, Study Period 52, Internal
Census Date 09-Aug-2012
Coordinator: Professor Ickjai Lee
Workload expectations:
  • 26 hours lectures
  • 12 hours tutorials
Assessment: end of semester exam (50%); presentations (10%); assignments (20%); report (20%).

Townsville, Study Period 2, Internal
Census Date 23-Aug-2012
Coordinator: Professor Ickjai 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%).

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.