Reference no: EM132651441

Your task is to analyse this data with appropriate classification, clustering, association finding, attribute selection and visualisation techniques selected from the Weka menus and identify any "golden nuggets" in the data. If you don't use any of the above techniques, you need to say why. You need to provide a report for this analysis, focusing on the following two aspects:

1. Describing the strategy you adopted, your methodology, the runs you performed, any "golden nuggets" you found and your conclusions.

2. Discussing the advantages and disadvantages of each of your chosen data mining methods. Make sure you provide a rationale of your choices, and why it worked well (or not well) for discovering the "golden nuggets".

Structure of report:( Report Length Up to two pages )

Who is the reader? As in all reports, it is important to keep the reader in mind. In this case: 1. Lecturer/Tutor 2. An independent reader unfamiliar with the project who needs to determine whether a fair mark has been given for the work done.

1 Introduction Describe the data, where it comes from and the kinds of results and insights you would like to get.

2 Body A series of subsections with the following structure:

2.1 Question/Hypothesis What question are you asking and why.
2.2 Data Preparation, Preprocessing I think it's good to include a brief extract from the data file(s).
2.3 Data Mining Technique The data mining technique to be used and how any relevant parameters were chosen and explored.
2.4 Results The results of applying the technique to the data. Could be graphs or tables or images.

2.5 Conclusions Conclusions/insights golden nuggets about the question/hypothesis 3

Attachment:- visualisation techniques.rar