|
|
COMP8400 - Algorithms and Techniques for Data Mining
Welcome to COMP8400 for semester 1 in 2008. This Web site contains
information that is continually updated.
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.
Paper on COMP8400
The following paper discusses and evaluates the running of COMP8400
in 2007.
Discussion forum
Make sure you check the
forum
message board on a regular basis.
Course material
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:
Last modified: 13/06/2008, 10:13
|