Unit

School Of Computing, Engineering And Mathematics

Data Mining and VisualisationWestern Sydney University Unit Code: 200036.3

Discipline: COMPUTATIONAL THEORY

Student Contribution Band: 2

Level: 3

Credit Points: 10

Co ordinator
Liwan Liyanage


Assumed Knowledge
200192 - Statistics for Science or 200032 - Statistics for Business or 200263 - Biometry


Prerequisite
300104 Database Design and Development

Teaching Periods
Nothing on offer.

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About this Unit
This unit presents data mining as a well structured standard process, namely, the Cross Industry Standard Process for Data Mining (CISP-DM). Further, this unit emphasizes (1) the presentation of data mining as a process, (2) the “White box” approach, emphasizing an understanding of the underlying algorithmic structures, (3) the graphical approach, emphasizing exploratory data analysis, and (4) the logical presentation, flowing naturally from the CRISP-DM standard process and the set of data mining tasks. This unit gives the insight of the data mining algorithms, by using small data sets and then provides examples of the application of the various algorithms on actual large data sets. Finally it provides the hands-on analysis problems, representing an opportunity to apply acquired data mining expertise to solving real problems using large data sets.


Courses
3633.2Bachelor of ComputingCONTINUING
3639.1Bachelor of Information and Communications TechnologyCONTINUING
3639.3Bachelor of Information and Communications TechnologyCONTINUING
3687.1Bachelor of Information SystemsCONTINUING


Specialisations

M3004.1Health InformaticsCONTINUING
M3022.1StatisticsCONTINUING
M3024.1Knowledge Discovery and Data MiningCONTINUING
M3083.1Health InformaticsCONTINUING
SM3009.1Health Information ManagementCONTINUING
SM3026.1StatisticsCONTINUING
SM3028.1Knowledge Discovery and Data MiningCONTINUING
SM3076.1Health Information ManagementCONTINUING




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