Quiz L3 - Quiz 03 Solutions PDF

Preview

Summary

Quiz 03 Solutions...

Description

Quiz L3

Score:

1.####Select three of the elements that define data quality: ____, ____, _____. A

accuracy

B

completeness

C

consistency

D

conciseness

2.####For the following procedures, which one does not belong to data cleaning routines? A

filling in missing values

B

removing outliers

C

wavelet transforming

D

smoothing noisy data

3.####Normalizing the raw data will lead to a better performance when using the distance-based mining algorithm. A

True

B

False

4.####Using higher-level concepts, such as youth, adult, senior to replace the numeric value of age is an example of data normalization. A

True

B

False

5.####In smoothing by bin means, each value in a bin is replaced by the mean value of the bin. You have been given the following data (in an increasing order) for the attribute age: 4,8,15,21,21,24,25,28,34. Use smoothing by bin means (bin depth of 3) to smooth these data, choose the right answer for Bin2. A

21,21,24

B

21,21,21

C

22,22,22

6.####Redundancy is an important issue in data integration. Some redundancies can be detected by ______ analysis. A

principal component

B

correlation

C

outlier

Page 1 of 2

7.####PCA could only be applied to ordered attributes. A

True

B

False

8.####The mean and the standard deviation for z-scores are A

0,1

B

1,1

C

1,0

9.####Suppose that the minimum and maximum values for the attribute income are $12,000 and $98,000, respectively. We would like to map income to the range [0.0,1.0]. By min-max normalization, a value of $55,000 for income is transformed to ____.

0.5

10.####Data discretization transforms numeric data by mapping values to interval or concept labels. A

True

B

False

Page 2 of 2...