Data Mining Final Assessment
Quiz by Yashaswini B M
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- Q1
Which of these is correct about data mining?
It is a procedure in which knowledge is mined from data.
It is a procedure using which one can extract information out of huge sets of data.
All of the above
It involves processes like Data Transformation, Data Integration, Data Cleaning.
30s - Q2
The classification or mapping of a class using a predefined class or group is called:
Data Set
Data Sub Structure
Data Characterisation
Data Discrimination
30s - Q3
What is the analysis conducted for uncovering some interesting statistical correlations between various associated-attribute-value pairs called?
None of the above
Mining of Correlations
Mining of Clusters
Mining of Association
30s - Q4
__________ are the data objects that don’t comply with the general model or behaviour of the available data:
Outlier Analysis
Prediction
Classification
Evolution Analysis
30s - Q5
The primary use of data cleaning is:
Correction of the data inconsistencies
Transformations for correcting the wrong data
Removing the noisy data
All of the above
30s - Q6
The classification of the Data Mining System consists of:
All of the above
Information Science
Database Technology
Machine Learning
30s - Q7
The class under study in Data Characterization is known as:
Initial Class
Target Class
Study Class
Final Class
30s - Q8
What does the letter K stand for in the K-nearest neighbour algorithm?
Number of neighbours that are used
Number of total observations in the dataset
Number of iterations
30s - Q9
What does noise mean in data mining?
Complex data
Repeated data
Random errors in the dataset
30s - Q10
Which process is used to rescaling the values of data into a range from 0 to 1?
Data normalisation
Data churning
Data preprocessing
30s - Q11
What is often considered the early methods to identify patterns in data?
Regression analysis
Bayes’s theorem
Cluster analysis
30s - Q12
Bayesian classifiers is
None of these
An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
A class of learning algorithm that tries to find an optimum classification of a set of examples usingthe probabilistic theory.
Any mechanism employed by a learning system to constrain the search space of a hypothesis
30s - Q13
Classification is
A subdivision of a set of examples into a number of classes
The task of assigning a classification to a set of examples
A measure of the accuracy, of the classification of a concept that is given by a certain theory.
None of these
30s - Q14
Classification accuracy is
None of these
A subdivision of a set of examples into a number of classes
Measure of the accuracy, of the classification of a concept that is given by a certain theory.
The task of assigning a classification to a set of examples
30s - Q15
Naive prediction is
A class of learning algorithms that try to derive a Prolog program from examples.
A prediction made using an extremely simple method, such as always predicting the same output.
None of these
A table with n independent attributes can be seen as an n- dimensional space
30s