
DATA REDUCTION
Authored by vallimayil v
Computers
University
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6 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
1.Which of the following techniques can be used for data reduction in large datasets?
Outlier analysis
Feature engineering
DATA FUSION
SAMPLING
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
1.What is the purpose of data reduction in data mining?
To remove missing values from the dataset
To reduce noise in the data
To increase the size of the dataset
To improve the interpretability and efficiency of data mining algorithms
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
1.Which of the following is a dimensionality reduction technique commonly used in data reduction?
Clustering
Regression analysis
Principal Component Analysis
Decision trees
4.
FILL IN THE BLANK QUESTION
1 min • 1 pt
1.-------------- one of the following in not data reduction A) sampling b) clustering c) regression d)none
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
1.Which of the following is a technique used for feature selection in data reduction?
CLUSTERING
svm
pca
knn
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
DISCRETE WAVELET TRANSFORM IS ONE OF
DATA CLEANING
DATA SIZE REDUCTION
DIMENSTIONALITY REDUCTION
VOLUME REDUCTION
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