CP5605 - Advanced Data Mining and Knowledge Discovery

Credit points:	03
Year:	2010
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

• knowledge of AI and analytical methods for classification and pattern detection;
• analyse effectiveness and computational efficiency of a variety of data mining and knowledge discovery techniques;
• compare capabilities of different datamining approaches based on choice of domain;
• apply data mining and knowledge discovery methods to problems in science, business and industry.

Graduate Qualities

• The ability to appraise information critically;
• The ability to think laterally and be original;
• The ability to conceptualise problems;
• The ability to conceptualise and evaluate a range of potential solutions to relevant problems;
• The potential to lead and contribute to projects effectively and efficiently;
• The ability to conduct their research in an ethical manner;
• The ability to make constructive contributions to project teams or collegial activities;
• The potential to resolve conflicts.

Assumed Knowledge:	Basic knowledge of relational databases and proficiency in at least one programming language.
Inadmissible Subject Combinations:	CP3300

Availabilities
Townsville, Internal, Study Period 2
Census Date 26-Aug-2010
Coord/Lect:	Assoc. Professor Ickjai Lee.
Contact hours:	26 hours lectures 12 hours tutorials
Assessment:	end of semester exam (40% - 60%); presentations (10% - 20%); assignments (20% - 50%).
Cairns, Internal, Study Period 2
Census Date 26-Aug-2010
Coord/Lect:	Assoc. Professor Ickjai Lee.
Contact hours:	26 hours lectures 12 hours tutorials
Assessment:	end of semester exam (40% - 60%); presentations (10% - 20%); assignments (20% - 50%).
JCU Singapore, Internal, Study Period 52
Census Date 22-Jul-2010
Coordinator:	Assoc. Professor Ickjai Lee
Contact hours:	26 hours lectures 12 hours tutorials
Assessment:	end of semester exam (40% - 60%); presentations (10% - 20%); assignments (20% - 50%).
JCU Brisbane, Internal, Study Period 22
Census Date 12-Aug-2010
Coordinator:	Assoc. Professor Ickjai Lee
Contact hours:	26 hours lectures 12 hours tutorials
Assessment:	end of semester exam (40% - 60%); presentations (10% - 20%); assignments (20% - 50%).

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.