Data Mining_Basics_quiz1

What is true about data mining?

• Data Mining is defined as the procedure of extracting information from huge sets of data

• Data mining is the procedure of mining knowledge from data.

• Data mining also involves other processes such as Data Cleaning, Data Integration, Data Transformation

• All of the above

How many categories of functions involved in Data Mining?

• 2

• 3

• 4

• 5

The mapping or classification of a class with some predefined group or class is known as?

• Data Characterization

• Data Discrimination

• Data Set

• Data Sub Structure

__________ may be defined as the data objects that do not comply with the general behavior or model of the data available.

• Evolution Analysis

• Prediction

• Outlier Analysis

• Classification

"Efficiency and scalability of data mining algorithms" issues comes under?

• Performance Issues

• Diverse Data Types Issues

• Mining Methodology and User Interaction Issues

• None of the above

What is the use of data cleaning?

• correct the inconsistencies in data

• to remove the noisy data

• transformations to correct the wrong data.

• All of the above

To detect fraudulent usage of credit cards, the following data mining task should be used:

• Outlier analysis

• Prediction

• Feature selection

• All of the above

Which of the following refers to the problem of finding abstracted patterns (or structures) in the unlabeled data?

• Hybrid learning

• Supervised learning

• Unsupervised learning

• Reinforcement learning

Which of the following is an essential process in which the intelligent methods are applied to extract data patterns?

• Warehousing

• Text Mining

• Data Mining

• Data Selection

——- is not a data mining functionality?

• Selection and interpretation

• Clustering and Analysis

• Classification and regression

• Characterization and Discrimination