Assignment Information
For this assignment, students should work in pairs.
You should submit your assignment from the ICT616 LMS site using the Assignment course tool.
Late submissions will be penalised at the rate of 10 marks per day late or part thereof.
You must keep a copy of the final version of your assignment as submitted and be prepared to provide it on request.
The University treats plagiarism, collusion, theft of other students’ work and other forms of dishonesty in assessment seriously. Any instances of dishonesty in this assessment will be forwarded immediately to the Faculty Dean. For guidelines on honesty in assessment including avoiding plagiarism.Deliverables:1.Online Discussion forum: Post your proposed topic and chosen data set as well as a short plan for the project. This is required for approval of the topic. As discussed, students must select unique topics, therefore if any assignments overlap they will not be accepted. This should be done by week 11. Also any queries about the assignment deliverables should be made in the discussion forum so that other students can also benefit from the responses.2.Oral Presentation: You will be required to present a brief (10) minute executive summary of your project in class. This is a mandatory component of the assignment.3.Data Mining technical report: Details below.
Overview
The data mining project is an assignment that allows you to conduct an investigation and analysis into an actual data set of your choosing. The analysis should follow the stages of the CRISP-DM so that a uniform approach is taken. There are numerous data sets available online, and a link to a good repository has been given in the Moodle web page earlier in the semester. You are free to choose any data set you prefer, the conditions being that
1. Data set must be freely available online so that I can download it and perform the analysis myself.
2. Students must each choose unique projects – this generally means different data sets entirely.
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