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COMP8400 - Algorithms and Techniques for Data Mining

Welcome to COMP8400 for semester 1 in 2008. This Web site contains information that is continually updated.

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News

• 13 Jun: The marks for the student presentation are now available on StReaMS, and a marking guide is also available here. The average mark was 15.84 (out of 20) with a standard deviation of 1.66.
  The marked printed reports are at the DCS reception (CSIT building, 3rd floor). You can pick them up during normal office hours.

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Paper on COMP8400

The following paper discusses and evaluates the running of COMP8400 in 2007.

• Evaluation of a Graduate Level Data Mining Course with Industry Participants
  Peter Christen
  In proceedings of the Sixth Australasian Data Mining Conference (AusDM 2007), Gold Coast, December 2007.
  Paper (pdf, 436 KB) available online from Conferences in Research and Practice in Information Technology (CRPIT), vol. 70.

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Discussion forum

Make sure you check the forum message board on a regular basis.

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Course material

• Lecture slides and related files

• Lab exercises

• Tutorial papers

• Assignments

• Student presentation

• Further material and resources

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General course information

• Course schedule

• Assessment scheme

• 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.

  For more information please see the COMP8400 Web page at Study@ANU 2008.

• Textbook: The course will mainly be based on the second edition (2006) of the book "Data Mining - Concepts and Techniques", Jaiwei Han and Micheline Kamber, Morgan Kaufmann. Costs are around $90 at the Coop bookshop.

• 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 2008, COMP8400 Fees and Dates
  • Form for 'Application for Non-Award Enrolment: Postgraduates' (Note that non-award applications close 31st January 2008.)

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Last modified: 13/06/2008, 10:13