Question 1 of 25
Hints left: 3
Q1
Data mining is a tool for allowing
users to find the hidden relationships
in data.
Q2
Of the following what are the Density
based clustering algorithms?
Q3
Which of the following statement
about DBSCAN algorithm is false?
Q4
What techniques can be used to improve the efficiency of apriori algorithm?
Q5
___ is the process of finding a model
that describes and distinguishes data
classes or concepts.
Q6
The technique of learning by generalizing from examples is ___
Q7
Discrete or continuous data?
Q8
Identifying the examples of sequence
data
Q9
Given the following confusuin matrix
for a multi class classifier. What is the
accuracy of the classifier?
Q10
To identify the truly interesting patterns representing knowledge based
on interestingness measures is
Q11
k-means is more Robust than k-medoids
Q12
Which of the following technique is
categorised as unsupervised learning?
Q13
___ stores sequences of values or
events obtained over repeated measurements of time.
Q14
Apply decision tree analysis using ___ node on a read world data set
Q15
Which of the following is NOT one of
the processes in Data Preprocessing?
Q16
Linear regression can be used to evalate trends and make forecasts e.g. on
upward or downward trend in sales
depicted as a result of linear analysis.
Q17
OLAP processing referred as
Q19
Example of a simple deployment
phase in CRISP-DM
Q20
The complexity of data mining algorithm is represented by ___
Q21
If during data mining, some data is
incomplete, the team should seeking
out the incomplete data
Q22
There are 13 boys and 14 girls in fifth
period.
Q23
Which of the following statement is
true about classification?
Q24
___ is not a data mining functionality?
Q25
Life Depends on Three Molecules