Data Mining - Part 1 - MCQ Exam Test

Q1

This is a term that describes the large volume of data; both structured and unstructured.

Q2

The mass of the beaker was 122 g.

Q3

DBSCAN has a drawback over OPTICS

Q4

Lift dari rule K _ E adalah _

Q5

A collection of integrated, subject oriented databases designed to support the decision-support functions

Q6

k-means algorithm is sensitive to outliers

Q7

Suppose a cluster contain the points (1, 3), (3, 3), (2, 1). What is the centroid of the cluster?

Q8

In statistical distribution the outlier is identified using ___

Q9

___ is the output of KDD

Q10

Application server and data server are kept separately in.

Q11

Of the following what are the distance based clustering algorithms?

Q12

___ often used for both the prelimi nary investigation of the data and the f inal data analysis

Q13

Of the following which is not a distance based clustering algorithms?

Q14

Is Logistic regression a supervised machine learning algorithm?

Q15

Select the tools that can be used for data mining

Q16

The view over an operational data warehouse is known as virtual warehouse

Q17

Same person with multiple email addresses is an example of ___

Q18

Select the skills mainly required as a competent data analyst/scientist/miner

Q19

Data mining is ___

Q20

a data warehouse can include

Q21

Find the median of these numbers:4,2,7,4,3

Q22

___ refers to the grouping of records, observations, or cases into classes of similar objects

Q23

Which of the following is not involve in data mining

Q24

___ refers to the mapping or classifi cation of a class with some predefined group or class.

Q25

Ordinal is an example of ___

This is a term that describes the large volume of data; both structured and unstructured.

The mass of the beaker was 122 g.

DBSCAN has a drawback over OPTICS

Lift dari rule K ___ E adalah ___

A collection of integrated, subject oriented databases designed to support the decision-support functions

k-means algorithm is sensitive to outliers

Suppose a cluster contain the points (1, 3), (3, 3), (2, 1). What is the centroid of the cluster?

In statistical distribution the outlier is identified using ___

___ is the output of KDD

Application server and data server are kept separately in.

Of the following what are the distance based clustering algorithms?

___ often used for both the prelimi nary investigation of the data and the f inal data analysis

Of the following which is not a distance based clustering algorithms?

Is Logistic regression a supervised machine learning algorithm?

Select the tools that can be used for data mining

The view over an operational data warehouse is known as virtual warehouse

Same person with multiple email addresses is an example of ___

Select the skills mainly required as a competent data analyst/scientist/miner

Data mining is ___

a data warehouse can include

Find the median of these numbers:4,2,7,4,3

___ refers to the grouping of records, observations, or cases into classes of similar objects

Which of the following is not involve in data mining

___ refers to the mapping or classifi cation of a class with some predefined group or class.

Ordinal is an example of ___

Lift dari rule K _ E adalah _