Question 1 of 25
Hints left: 3
Q2
Discrete or continuous data?
Q3
Which of the following statement is
true about classification?
Q4
k-means is more Robust than k-medoids
Q5
Which of the following statement
about DBSCAN algorithm is false?
Q6
Which of the following technique is
categorised as unsupervised learning?
Q7
___ stores sequences of values or
events obtained over repeated measurements of time.
Q8
Data mining is a tool for allowing
users to find the hidden relationships
in data.
Q9
___ is not a data mining functionality?
Q10
Given the following confusuin matrix
for a multi class classifier. What is the
accuracy of the classifier?
Q11
Life Depends on Three Molecules
Q12
Example of a simple deployment
phase in CRISP-DM
Q13
Identifying the examples of sequence
data
Q14
Apply decision tree analysis using ___ node on a read world data set
Q15
OLAP processing referred as
Q16
The technique of learning by generalizing from examples is ___
Q17
The complexity of data mining algorithm is represented by ___
Q18
If during data mining, some data is
incomplete, the team should seeking
out the incomplete data
Q19
___ is the process of finding a model
that describes and distinguishes data
classes or concepts.
Q20
There are 13 boys and 14 girls in fifth
period.
Q21
To identify the truly interesting patterns representing knowledge based
on interestingness measures is
Q22
Which of the following is NOT one of
the processes in Data Preprocessing?
Q23
What techniques can be used to improve the efficiency of apriori algorithm?
Q24
Of the following what are the Density
based clustering algorithms?
Q25
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.