School Of Computing, Engineering And MathematicsData Mining and VisualisationWestern Sydney University Unit Code: 200036.3
Discipline: COMPUTATIONAL THEORY
Student Contribution Band: 2
Level: 3
Credit Points: 10
Assumed Knowledge
200192 - Statistics for Science or 200032 - Statistics for Business or 200263 - Biometry
Prerequisite
300104 Database Design and Development
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| 3633.2 | Bachelor of Computing | CONTINUING |
| 3639.1 | Bachelor of Information and Communications Technology | CONTINUING |
| 3639.3 | Bachelor of Information and Communications Technology | CONTINUING |
| 3687.1 | Bachelor of Information Systems | CONTINUING |
Specialisations
| M3004.1 | Health Informatics | CONTINUING |
| M3022.1 | Statistics | CONTINUING |
| M3024.1 | Knowledge Discovery and Data Mining | CONTINUING |
| M3083.1 | Health Informatics | CONTINUING |
| SM3009.1 | Health Information Management | CONTINUING |
| SM3026.1 | Statistics | CONTINUING |
| SM3028.1 | Knowledge Discovery and Data Mining | CONTINUING |
| SM3076.1 | Health Information Management | CONTINUING |