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Course aim

To introduce major data and web mining techniques, advanced applications, and new developments. To develop knowledge and skills to discover useful information from data effectively.

Course content

Introduction to data mining and data mining processes.

  • Basic data mining techniques: data preprocessing,  association mining, classification, and clustering.
  • Advanced applications: textual data mining,  and Web mining.
  • Data mining software tools and using a software tool to solve some simple real world data mining problems.

Teaching method

Internal, Mawson Lakes
Lecture2 hrs x 13 weeks
Practical1 hr x 11 weeks
External, Mawson Lakes
ExternalN/A x 13 weeks

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.


Internal, Mawson Lakes
Data and data preprocess50010%N/A
Data mining process300040%N/A
ExaminationN/A50%2 hours
External, Mawson Lakes
Data and data preprocess50010%N/A
Data mining process300040%N/A
ExaminationN/A50%2 hours


EFTSL*: 0.1250
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
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* Equivalent Full Time Study Load. Please note all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation

Course coordinator(s)

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