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CP5634 - Data Mining

Credit points: 03
Year: 2019
Student Contribution Band: Band 2
Administered by: College of Business, Law & Governance

This subject focuses on advanced data mining techniques for intelligence informatics. It provides an in-depth coverage of the need for big data analysis, data warehousing, big data analytics, predictive methods, scalability considerations, data visualisation, and data mining techniques. Students will gain hands-on experience with various data mining tools and embedding data mining in intelligent informatics solutions.

Learning Outcomes

  • explain the importance of big data analysis and data mining;
  • identify and critically evaluate data mining techniques and tools;
  • compare and evaluate appropriate techniques for clustering, classification and association rules mining;
  • assess the potential benefits, risks, issues and challenges associated with big data and data mining;
  • explore and analyse data mining patterns for intelligence informatics.
Inadmissible
Subject
Combinations:
CP3300 CP3403 CP5605

Availabilities

Townsville, Internal, Study Period 1
Census Date 28-Mar-2019
Coord/Lect: Professor Ickjai Lee.
Contact hours:
  • 26 hours lectures
  • 12 hours practicals
  • 6 hours workshops/Seminars
    Assessment: end of semester exam (40%); other exams (20%); data mining practice (40%).

    JCU Singapore, Internal, Study Period 51
    Census Date 11-Apr-2019
    Contact hours:
    • 44 hours - Combined Lectures; Tutorials/Workshops/ Practicals; Lecturer directed activities
      Assessment: end of semester exam (40%); other exams (20%); data mining practice (40%).

      JCU Singapore, Internal, Study Period 53
      Census Date 05-Dec-2019
      Contact hours:
      • 44 hours - Combined Lectures; Tutorials/Workshops/ Practicals; Lecturer directed activities
        Assessment: end of semester exam (40%); other exams (20%); data mining practice (40%).

        JCU Singapore, Internal, Study Period 52
        Census Date 08-Aug-2019
        Contact hours:
        • 44 hours - Combined Lectures; Tutorials/Workshops/ Practicals; Lecturer directed activities
          Assessment: end of semester exam (40%); other exams (20%); data mining practice (40%).

          JCU Brisbane, Internal, Study Period 21
          Census Date 11-Apr-2019
          Coordinator: Professor Ickjai Lee
          Lecturer: Dr Paul Darwen.
          Contact hours:
          • 26 hours lectures
          • 12 hours practicals
          • 6 hours workshops/Seminars
            Assessment: end of semester exam (40%); other exams (20%); data mining practice (40%).

            JCU Brisbane, Internal, Study Period 22
            Census Date 08-Aug-2019
            Coordinator: Professor Ickjai Lee
            Lecturer: Dr Paul Darwen.
            Contact hours:
            • 26 hours lectures
            • 12 hours practicals
            • 6 hours workshops/Seminars
              Assessment: end of semester exam (40%); other exams (20%); data mining practice (40%).

              JCU Brisbane, Internal, Study Period 23
              Census Date 05-Dec-2019
              Coordinator: Professor Ickjai Lee
              Lecturer: Dr Paul Darwen.
              Contact hours:
              • 26 hours lectures
              • 12 hours practicals
              • 6 hours workshops/Seminars
                Assessment: end of semester exam (40%); other exams (20%); data mining practice (40%).

                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.