DATA REDUCTION

1.Which of the following techniques can be used for data reduction in large datasets?

• Outlier analysis

• Feature engineering

• DATA FUSION

• SAMPLING

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

1.Which of the following is a dimensionality reduction technique commonly used in data reduction?

• Clustering

• Regression analysis

• Principal Component Analysis

• Decision trees

1.-------------- one of the following in not data reduction A) sampling b) clustering c) regression d)none

1.Which of the following is a technique used for feature selection in data reduction?

• CLUSTERING

• svm

• pca

• knn

DISCRETE WAVELET TRANSFORM IS ONE OF

• DATA CLEANING

• DATA SIZE REDUCTION

• DIMENSTIONALITY REDUCTION

• VOLUME REDUCTION