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Prerequisite(s)

Nil


Corequisite(s)

Nil


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

ComponentDuration
Internal, Mawson Lakes
Lecture3 hrs x 13 weeks
Practical1 hr x 11 weeks

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


Assessment

TaskLengthWeightingDuration
Internal, Mawson Lakes
Data and data preprocess50010%N/A
Data mining process300040%N/A
Examination1000 words50%2 hours
External, Mawson Lakes
Data and data preprocess50010%N/A
Data mining process300040%N/A
Examination1000 words50%2 hours

Fees

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
Non-award tuition fees are set by the Division offering the course. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.

* 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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