ANL303 Fundamentals of Data Mining Tutor-Marked Assignment

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ANL303 Fundamentals of Data Mining Submission Date   Question 1 Qn1 (a) Give one (1) example of data quality issues that may potentially exist in the dataset described in Table 1 and propose a solution for it. Qn1(c) Based on the dataset described in Table 1, give one (1) example of predictive data mining and…

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ANL303 Fundamentals of Data Mining

Submission Date

 

Question 1

Qn1 (a) Give one (1) example of data quality issues that may potentially exist in the dataset described in Table 1 and propose a solution for it.

Qn1(c) Based on the dataset described in Table 1, give one (1) example of predictive data mining and discuss how it might generate useful insights to solve the rebalancing problem.

Qn1 (d) Suggest two (2) additional variables (not in Table 1) that could be included in the analysis for solving the rebalancing problem. Explain the rationale of their inclusion and describe how you can collect them.

Qn1 (e) When the rebalancing problem is not handled properly, one of the consequences is that some riders do not return the e-scooters to the designated stations if there is no empty parking slot at their desired end stations. Describe how this would bring negative impacts to the society.