Describe Briefly the Data Mining Techniques/Methodologies - IT Assignment Help

Assignment Task:

Task:

Guidelines for report on "Part 3: Data Mining” in
Who is the reader?

• As in all reports, it is important to keep the reader in mind. In this case, the reader will be your assignment marker (probably your lecturer/tutor), or an independent reader unfamiliar with the project who needs to determine whether a fair mark has been given for the work done.
• We suggest your report for this part 3 to follow the below section structure (for better clarity):
• Introduction
• Describe the data, where it comes from and the kinds of results and insights you would like to get.
• Question/Hypothesis
• What questions are you asking and why? What strategies and methodologies you are considering (high-level)?
• Data Preparation, Pre-processing
• I think it would be good to include a brief extract from the data file(s).
• Data Mining Techniques
• Describe briefly the data mining techniques/methodologies you have adopted, and what are the advantages and disadvantages associated with each method, and your rationales on why you choose them for the data mining tasks under consideration.
• Describe how you choose relevant parameters for the data mining techniques adopted in your experimentation.
• Results and Analysis
• The results and analysis of applying the techniques to the data. You could include some figures and tables as you see appropriate for illustration of the results.
• Conclusions
• Provide conclusions you have reached and insights(or golden nuggets) about the question/hypothesis.
• You may also stand back from the details and give the significant findings, golden nuggets, and the overall conclusions about the whole project.

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