CP5634 - Data Mining

Credit points:	03
Year:	2018
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 22-Mar-2018
Coordinator:	Dr Joanne Lee
Lecturer:	Assoc. Professor Hossein Ghodosi.
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 05-Apr-2018
Coordinator:	Dr Joanne Lee
Lecturer:	Assoc. Professor Hossein Ghodosi.
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 29-Nov-2018
Coordinator:	Dr Joanne Lee
Lecturer:	Assoc. Professor Hossein Ghodosi.
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 02-Aug-2018
Coordinator:	Dr Joanne Lee
Lecturer:	Assoc. Professor Hossein Ghodosi.
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 05-Apr-2018
Coordinator:	Dr Joanne Lee
Lecturer:	Assoc. Professor Hossein Ghodosi.
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 02-Aug-2018
Coordinator:	Dr Joanne Lee
Lecturer:	Assoc. Professor Hossein Ghodosi.
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 29-Nov-2018
Coordinator:	Dr Joanne Lee
Lecturer:	Assoc. Professor Hossein Ghodosi.
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.