completed report manuscript, appending the background, results,
discussion, and conclusion sections as described below. Completed report
should not exceed 2000 words. There will be a penalty for exceeding the
word limit. Graphs, tables, images and code are not counted towards the
Sections content description:
Intro/Background: Here is it important to describe the context of
your problem, previous studies…then state your aim/motivation. Your aim
could be deductive, whereby you have a hypothesis which you would like
to test using one of the data
mining methods which we will be
covering during the span of the course. You may also have an inductive
aim, whereby you will use
one of the covered methods to induce new
hypotheses based on novel patterns identified by the algorithm. (Note:
If you would like
to use a method which is not covered in this course, please consult with your instructor first).
Methods: In this section you will describe the preprocessing steps required to convert your data to the desired format and then
the algorithm which you used, what are the algorithmic steps? Discuss
the efficiency of the algorithm, how computationally
expensive is it both in terms of space and time complexity?
State your results, your results will be listed in tables in the
appendix, you will state the most important results in this section.
Discuss your findings by interpreting the results, comparing your
results to those of other studies (if applicable), and
identifying any limitations/weaknesses associated with your project.
Conclusion: Restate what your mining accomplished and what knowledge it added if any, then discuss what future work can be
Report Manuscript: Submit completed report manuscript, appending the background
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