DATAMINING-QUIZ1

1. What is true about data mining?

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

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

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

• D. All of the above

2. How many categories of functions involved in Data Mining?

• A. 2

• B. 3

• C. 4

• D. 5

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

• A. Outlier Analysis

• B. Evolution Analysis

• C. Prediction

• D. Classification

4.What is the use of data cleaning?

• A. to remove the noisy data

• B. correct the inconsistencies in data

• C. transformations to correct the wrong data.

• D. All of the above

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

• A.Warehousing

• B.Data Mining

• C.RDBMS

• D.Data Selection

6.What is KDD in data mining?

• A.Knowledge Discovery Database

• B.Knowledge Discovery Data

• C.Knowledge Data definition

• D.Knowledge data house

7.——– is the out put of KDD…

• a) Query

• b) Useful Information

• c) Data

• d) information

8.Data mining is a tool for allowing users to find the hidden relationships in data.

• A. TRUE

• B.FALSE

9.A ---------- is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured and/or ad hoc queries, and decision making.

• data warehouse

• OLTP

• DBMS

• FILES

10. ------ is the domain knowledge that is used to guide the search

• A.Knowledge Base

• B. Data mining Engine

• C.Pattern Evaluation Module

• D. User Interface