Question 1 of 25
Hints left: 3
Q1
To identify the truly interesting patterns representing knowledge based
on interestingness measures is
Q2
Example of a simple deployment
phase in CRISP-DM
Q3
Data mining is a tool for allowing
users to find the hidden relationships
in data.
Q4
If during data mining, some data is
incomplete, the team should seeking
out the incomplete data
Q5
___ stores sequences of values or
events obtained over repeated measurements of time.
Q6
Life Depends on Three Molecules
Q7
Which of the following statement is
true about classification?
Q8
Given the following confusuin matrix
for a multi class classifier. What is the
accuracy of the classifier?
Q10
Identifying the examples of sequence
data
Q11
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.
Q12
Which of the following technique is
categorised as unsupervised learning?
Q13
The complexity of data mining algorithm is represented by ___
Q14
There are 13 boys and 14 girls in fifth
period.
Q15
___ is not a data mining functionality?
Q16
Apply decision tree analysis using ___ node on a read world data set
Q17
___ is the process of finding a model
that describes and distinguishes data
classes or concepts.
Q18
Discrete or continuous data?
Q19
k-means is more Robust than k-medoids
Q20
Which of the following statement
about DBSCAN algorithm is false?
Q21
What techniques can be used to improve the efficiency of apriori algorithm?
Q22
Which of the following is NOT one of
the processes in Data Preprocessing?
Q23
Of the following what are the Density
based clustering algorithms?
Q24
The technique of learning by generalizing from examples is ___
Q25
OLAP processing referred as