COMP8400 - Algorithms and Techniques for Data Mining

Welcome to COMP8400 for semester 1 in 2009. This Web site contains information that is continually updated.

News

• 18 May 2009: Important: Due to a change of Graham William's availability (guest lecture), I had to change the scheduling of the student presentation on the 28 May. Five students need to give their presentation in week 13 (4 June). For the updated schedule please see the course schedule page.

• 4 May 2009: Important: Due to a clash with another event (a workshop by ACT senator Kate Lundy in N101) this week's lectures (7 May) will be in the Aquarium, i.e. room N329, in the middle of the 3rd floor of the CIST building (108). Lecture times will stay the same (9-11).

• 2 May 2009: A draft exam timetable is now available. The COMP8400 exam is currently scheduled for Wednesday, 17 June 2009, 14:15-17:30. Please check that you do not have a clash with another exam. If so post a comment on the exam timetable Web site.

• 3 Apr 2009: A draft of the third lab sheet is now available on the Labs page. Also available is a draft of the second assignment.

General course information

• Course Administration Handout (PDF)

• Course coordinator and lecturer: Peter Christen (his weekly timetable including contact hours is available here).

• Course syllabus: This course introduces students to the concepts, algorithms and techniques used in data mining. The topics covered will include data warehousing, data pre-processing and integration, the data mining process, data mining algorithms and techniques, data mining applications, as well as social and security aspects related to data mining.

  The activities in the course will be some combination of lectures, tutorials and practical labs, reading of research papers, as well as smaller project works, as appropriate to the topic.

  In the lab sessions we will be using open source data mining tools such as Rattle (developed by Graham Williams at ATO in Canberra) and possibly Weka.

• Non-award student attendance: This course is open to interested parties (such as industry or government employees) who don't want to or cannot enrol in a full ANU masters program. For details on fees and how to apply 'non-award student' please see:
  • Study@ANU 2009, COMP8400 Fees and Dates
  • Form for 'Application for Non-Award Enrolment: Postgraduates' (Note that non-award applications close 31st January 2009.)