Data Mining Assignment

Question 1

Classify the following attributes by number of values (binary, discrete or continuous) and applicable operations (nominal, ordinal, interval, ratio). Explain your choice.

a) Number of patients in a hospital
b) ISBN numbers for books
c) Ability to pass light in terms of the following values: opaque, translucent, transparent
d) Military rank
e) Distance from the center of campus

Question 2

Which visualization techniques would you use for data that has:

a) a large number of samples and a large number of features
b) a small number of samples and a large number of features
c) a large number of samples and a small number of features
d) a small number of samples and a small number of features
Explain your choices.

Question 3

Using the techniques discussed in class, map the following categorical values to numerical representations.

a) Days of the week
b) Car Types: Sports, Luxury, Family
c) Letters of the Alphabet

Question 4

Discuss the differences and similarities of the fields of statistics and data mining.

Question 5

Using Weka, visualize two datasets of your choice (excluding the IRIS dataset) from the UCI repository and discuss the results (including screen shots). Hint: you might want to try a dataset with numerical feature values and a discrete (as opposed to continuous) class attribute.