Question 1 of 25
Hints left: 3
Q1
Knowledge discovery in database
refers to ___
Q2
True or False:Data Mining can turn
large collection of data into knowledge.
Q3
Redundancy refers to the elements
of a message that can be derived from
other parts of ___
Q4
These refers to a problem that continues to plague data analysis methods.
Q5
Choose which data mining task is
the most suitable for the following
scenario: Predict fraudulent cases in
credit card transactions
Q6
"Efficiency and scalability of data
mining algorithms" issues comes under?
Q7
Which of the following is not the task
of data preprocessing
Q8
The issues like efficiency, scalability
of data mining algorithms comes under
Q9
Before choosing an algorithm, I
should define the :(2 answers)
Q10
Match the following:Divisive approach
Q11
What is discretization ___
Q12
Which of the following is not a Gridbased clustering
Q13
Bioinformatics applies the techniques
of ___ to address problems inspired by
biology EXCEPT
Q15
Using the table shown, calculate the
value of the first point of the 3 point
moving average.
Q16
Given the following Confusion matrix. What is the Accuracy of the classifier?
Q17
Python was invented by whom and
when?
Q18
The amount of data being generated,
and in the age of big data, more data
is being generated every minute than
ever before
Q19
Joe is losing an average of .5 pounds
a week. Is this continuous or discrete
data?
Q20
Discrete or continuous data?
Q21
Data can be stored,retrieved and update in
Q22
The number of suitcases lost by airlines.
Q24
Similar meaning to data mining
Q25
Foreign key constraints are also referred as