Science, Engineering and Technology

KXT311

2010  KXT311  Data Mining & Text Retrieval

Unit Level: Advanced

Available as a Student Elective: Yes

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SPECIAL NOTE: 

This unit will not be available in 2011. Available in even-years only.

OFFERINGS

Unit Sem 1 Sem 2 Full Yr Spring Summer Winter KXT311 H,L Key Semester Dates Semester Note Start Date Census Date Final WW Date* End Date Sem 1 22-FEB-2010 23-MAR-2010 12-APR-2010 28-MAY-2010 *The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see Withdrawal dates explained for more information). About Census Dates

DESCRIPTION

Machine Learning is commonly considered to be a sub-field of Artificial Intelligence, and can be seen as the study of computational approaches to finding patterns in data. Data Mining applies Machine Learning techniques to look for patterns in large data sets. Many of the applications of Data Mining involve textual data, such as e-mails (e.g. when spam filtering) or Web pages (e.g. when searching for information).

This unit introduces the key ideas and techniques in Machine Learning in general, and some techniques for working with textual data in particular, including techniques from the field of Information Retrieval.

WEIGHT:  12.5%

ASSESSMENT:

in-semester assessment (30%), 3-hour final examination (70%)

TEACHING PATTERN: 3 lectures and 1 tutorial weekly

FLEXIBLE & ONLINE STUDY OPTIONS
Note: Class attendance may still be required

   Web dependent - H,L
Some parts of this unit will be taught online
   Video conferencing - H,L
A live video link between campuses is used for at least some teaching in this unit
About Flexible Study Options

REQUISITE INFO

M.Excl	KXA457
Prereq	( KXT201 or KXA251) and ( KXT206 or KXT306 or KXA252)

TEXTS
Information about any textbook requirements for Semester (Sem 1) will be available from mid November 2009

STAFF: Contact school.

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Campus - H Hobart, L Launceston, W Burnie. Study Centre - V Sydney, R Rozelle. Distance units may also have a campus identifier of I Isolated, N Interstate, O Overseas. Units delivered in Transnational Education (TNE) Programs have a campus identifier of A Hangzhou, F Fuzhou, G Shanghai, J Indonesia, K KDU Malaysia, Q Kuwait or Z New Zealand.

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