Data Mining And Business Intelligence  (2170715)

BE | Semester 7  Unit : Data Pre-processing

Q2 (c) Winter-2018   Explain Mean, Median, Mode, Variance, Standard Deviation & five number summary with suitable database example.

 Unit : Data Pre-processing

Q3 (b) Winter-2018   Suppose that the data for analysis includes the attribute age.
The age values for the data tuples are (in increasing order): 13, 15, 16, 16, 19, 20, 23, 29, 35, 41, 44, 53, 62, 69, 72
Use min-max normalization to transform the value 45 for age onto the range [0:0, 1:0]

 Unit : Data Pre-processing

Q3 (a) Winter-2018   List and describe methods for handling missing values in data cleaning.

 Unit : Data Pre-processing