Please answer the following:

Q1:

Use the following dataset to find Euclidian, Manhattan and Minkowski Distance between object A and B. Assume lambda (h) is 3.

Object / Attribute Cost Time Weight Incentive

Object A 0 3 4 5

Object B 7 6 3 -1

Q2:

What is data sampling in data mining? Explain four (4) types of data sampling techniques.

Q3:

Do you think improvements in database technology helped the surge of data mining? Explain your answer in details.

Q4:

Suppose that the data for analysis includes the attribute age. The age values for the data tuples are (in increasing order) 13, 14, 15, 16, 20, 20, 20, 20, 20, 23, 24, 24, 25, 26, 27, 28, 30, 30, 30, 30, 30, 32, 33, 35, 36, 37, 39, 44, 45.

(a) What is the mean of the data? (b) What is the median? (c) What is the mode of the data? (d) Comment on the datas modality (i.e., bimodal, trimodal, etc.). (e) Show a Histogram of the data (10 bars).

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Thanks for your usual support :)