cse4dmi data mining
DATA MINING
CSE4DMI
2014
Credit points: 15
Subject outline
Data Mining refers to various techniques which can be used to uncover hidden information from a database. The data to be mined may be complex data including multimedia, spatial and temporal data and biological data such as DNA sequences. Data Mining has evolved from several areas including: databases, artificial intelligence, algorithms, information retrieval and statistics. This unit is designed to provide graduate students with a solid understanding of data mining concepts and tools. The unit covers classification rule extraction, clustering algorithms and association rule mining techniques. Domain applications of data mining techniques will be addressed in this unit.
FacultyFaculty of Science, Tech & Engineering
Credit points15
Subject Co-ordinatorPhoebe Chen
Available to Study Abroad StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Exchange StudentsYes
Subject particulars
Subject rules
PrerequisitesN/A
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
Resource Type | Title | Resource Requirement | Author and Year | Publisher |
---|---|---|---|---|
Readings | Introduction to Data Mining | Recommended | Tan, PN, Steinback, M & Kumar, V | 1ST EDN, MORGAN KAUFMANN |
Subject options
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Melbourne, 2014, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorPhoebe Chen
Class requirements
LectureWeek: 31 - 43
One 2.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Computer LaboratoryWeek: 31 - 43
One 2.0 hours computer laboratory per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
Assessment element | Comments | % |
---|---|---|
Assignemnt 1 equivalent to 1,200 words | Hurdle requirement: In order to pass the unit, students must obtain an overall pass grade, pass the examination and pass the overall non-examination components. | 20 |
Assignemnt 2 equivalent to 1,200 words | 20 | |
one 3-hour examination | 50 | |
pratical/tutorial participation and contribution to tutorial taks | 10 |