Measure of the probability that a certain hypothesis is incorrect given certain observations.

The science of collecting, organizing, and applying numerical facts

Measure of the probability that a certain hypothesis is incorrect given certain observations.

One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational dat(A)

It does not need the control of the human operator during their execution.

An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars.

The validation of a theory on the basis of a finite number of examples

CLARANS stands for _______.

clustering application randomized search.

clustering large application range network search.

clustering large applications based on randomized search.

clustering application randomized search.

Large collection of data mostly stored in a computer system

The removal of noise errors and incorrect input from a database

The systematic description of the syntactic structure of a specific database. It describes the structure of the attributes the tables and foreign key relationships.

Data transformation includes __________.

a process to change data from a summary level to a detailed level.

a process to change data from a detailed level to a summary level.

a process to change data from a summary level to a detailed level.

joining data from one source into various sources of data.

separating data from one source into various sources of data.

BIRCH is a ________.http://grdmcqonline/printqp.php?heading=II M.Sc(IT) [2012-2014], Se...25 of 34 8/20/2013 2:47 PM

agglomerative clustering algorithm.

hierarchical-agglomerative algorithm.

This takes only two values. In general, these values will be 0 and 1 and they can be coded as one bit.

The natural environment of a certain species

Systems that can be used without knowledge of internal operations

General class of approaches to a problem.

Performing several computations simultaneously.

Structures in a database those are statistically relevant.

Simple forerunner of modern neural networks, without hidden layers.

General class of approaches to a problem.

Performing several computations simultaneously.

Structures in a database those are statistically relevant

Simple forerunner of modern neural networks, without hidden layers.

347 + Mcqs in Data Mining And Warehouse in Computer Science Engineering (CSE) Page 2 McqOptions

51.	When objects are represented using single attribute, the proximity value 1 indicates :
A.	objects are similar
B.	objects are dissimilar
C.	not equal
D.	reflexive
Answer» B. objects are dissimilar

Discussion

52.	The terms equality and roll up are associated with ____________.
A.	olap.
B.	visualization.
C.	data mart.
D.	decision tree.
Answer» D. decision tree.

Discussion

53.	Statistics
A.	The science of collecting, organizing, and applying numerical facts
B.	Measure of the probability that a certain hypothesis is incorrect given certain observations.
C.	One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational dat(A)
D.	None of these
Answer» B. Measure of the probability that a certain hypothesis is incorrect given certain observations.

Discussion

54.	____________ are a different paradigm for computing which draws its inspiration from neuroscience.
A.	computer networks.
B.	neural networks.
C.	mobile networks.
D.	artificial networks.
Answer» C. mobile networks.

Discussion

55.	Which one manages both current and historic transactions?
A.	oltp
B.	olap
C.	spread sheet
D.	xml
Answer» C. spread sheet

Discussion

56.	Source data from the warehouse comes from _______________.
A.	ods.
B.	tds.
C.	mddb.
D.	ordbms.
Answer» B. tds.

Discussion

57.	The important aspect of the data warehouse environment is that data found within the datawarehouse is___________.
A.	subject-oriented.
B.	time-variant.
C.	integrated.
D.	all of the above.
Answer» E.

Discussion

58.	_____ Lower when objects are more alike.
A.	dissimilarity
B.	recall
C.	similarity
D.	accuracy
Answer» B. recall

Discussion

59.	In ____________, the value of an attribute is examined as it varies over time.
A.	regression.
B.	time series analysis.
C.	sequence discovery.
D.	prediction.
Answer» C. sequence discovery.

Discussion

60.	The paths from root node to the nodes labelled 'a' are called __________.
A.	transformed prefix path.
B.	suffix subpath.
C.	transformed suffix path.
D.	prefix subpath.
Answer» E.

Discussion

61.	____________ maps data into predefined groups.
A.	regression.
B.	time series analysis
C.	prediction.
D.	classification.
Answer» E.

Discussion

62.	The ________ algorithm is based on the observation that the frequent sets are normally very few innumber compared to the set of all itemsets.
A.	a priori.
B.	clustering.
C.	association rule.
D.	partition.
Answer» E.

Discussion

63.	___________ is an important functional component of the metadata.
A.	digital directory.
B.	repository.
C.	information directory.
D.	data dictionary.
Answer» D. data dictionary.

Discussion

64.	Verification
A.	It does not need the control of the human operator during their execution.
B.	An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars.
C.	The validation of a theory on the basis of a finite number of examples
D.	None of these
Answer» D. None of these

Discussion

65.	________ is data that is distilled from the low level of detail found at the current detailed leve.
A.	highly summarized data.
B.	lightly summarized data.
C.	metadata.
D.	older detail data.
Answer» C. metadata.

Discussion

66.	CLARANS stands for _______.
A.	clara net server.
B.	clustering large application range network search.
C.	clustering large applications based on randomized search.
D.	clustering application randomized search.
Answer» D. clustering application randomized search.

Discussion

67.	Data dictionary is
A.	Large collection of data mostly stored in a computer system
B.	The removal of noise errors and incorrect input from a database
C.	The systematic description of the syntactic structure of a specific database. It describes the structure of the attributes the tables and foreign key relationships.
D.	None of these
Answer» D. None of these

Discussion

68.	Data warehouse is based on_____________
A.	two dimensional model
B.	three dimensional model
C.	multi dimensional model
D.	unidimensional model
Answer» D. unidimensional model

Discussion

69.	Reducing the number of attributes to solve the high dimensionality problem is called as ________.
A.	dimensionality curse.
B.	dimensionality reduction.
C.	cleaning.
D.	overfitting.
Answer» C. cleaning.

Discussion

70.	Data transformation includes __________.
A.	a process to change data from a detailed level to a summary level.
B.	a process to change data from a summary level to a detailed level.
C.	joining data from one source into various sources of data.
D.	separating data from one source into various sources of data.
Answer» B. a process to change data from a summary level to a detailed level.

Discussion

71.	The output of KDD is __________.
A.	data.
B.	information.
C.	query.
D.	useful information.
Answer» E.

Discussion

72.	________________ design involves deciding on their centres and the sharpness of their Gaussians.
A.	dr.
B.	and.
C.	xor.
D.	rbf.
Answer» E.

Discussion

73.	_________data consists of sample input data as well as the classification assignment for the data.
A.	missing.
B.	measuring.
C.	non-training.
D.	training.
Answer» E.

Discussion

74.	The _______ step eliminates the extensions of (k-1)-itemsets which are not found to be frequent,from being considered for counting support.
A.	candidate generation.
B.	pruning.
C.	partitioning.
D.	itemset eliminations.
Answer» C. partitioning.

Discussion

75.	Each neuron is made up of a number of nerve fibres called _____________.
A.	electrons.
B.	molecules.
C.	atoms.
D.	dendrites.
Answer» E.

Discussion

76.	___________can be thought of as classifying an attribute value into one of a set of possible classes.
A.	estimation.
B.	prediction.
C.	identification.
D.	clarification.
Answer» C. identification.

Discussion

77.	________is the most well known association rule algorithm and is used in most commercialproducts.
A.	apriori algorithm.
B.	partition algorithm.
C.	distributed algorithm.
D.	pincer-search algorithm.
Answer» B. partition algorithm.

Discussion

78.	The biological neuron's _________ is a continuous function rather than a step function.
A.	read.
B.	write.
C.	output.
D.	input.
Answer» D. input.

Discussion

79.	The _______ step eliminates the extensions of (k-1)-itemsets which are not found to be frequent, frombeing considered for counting support.
A.	candidate generation.
B.	pruning.
C.	partitioning.
D.	itemset eliminations.
Answer» C. partitioning.

Discussion

80.	If T consist of 500000 transactions, 20000 transaction contain bread, 30000 transaction contain jam,10000 transaction contain both bread and jam. Then the support of bread and jam is _______.
A.	2%
B.	20%
C.	3%
D.	30%
Answer» B. 20%

Discussion

81.	The value that says that transactions in D that support X also support Y is called ______________.
A.	confidence.
B.	support.
C.	support count.
D.	none of the above.
Answer» B. support.

Discussion

82.	Non-additive measures can often combined with additive measures to create new _________.http://grdmcqonline/printqp.php?heading=II M.Sc(IT) [2012-2014], Se...14 of 34 8/20/2013 2:47 PM
A.	additive measures.
B.	non-additive measures.
C.	partially additive.
D.	all of the above.
Answer» B. non-additive measures.

Discussion

83.	Data mining helps in __________.
A.	inventory management.
B.	sales promotion strategies.
C.	marketing strategies.
D.	all of the above.
Answer» E.

Discussion

84.	Discovery of cross-sales opportunities is called ________________.
A.	segmentation.
B.	visualization.
C.	correction.
D.	association.
Answer» E.

Discussion

85.	RBF have only _______________ hidden layer.
A.	four.
B.	three.
C.	two.
D.	one.
Answer» E.

Discussion

86.	The proportion of transaction supporting X in T is called _________.
A.	confidence.
B.	support.
C.	support count.
D.	all of the above.
Answer» C. support count.

Discussion

87.	BIRCH is a ________.http://grdmcqonline/printqp.php?heading=II M.Sc(IT) [2012-2014], Se...25 of 34 8/20/2013 2:47 PM
A.	agglomerative clustering algorithm.
B.	hierarchical algorithm.
C.	hierarchical-agglomerative algorithm.
D.	divisive.
Answer» D. divisive.

Discussion

88.	____________ of data means that the attributes within a given entity are fully dependent on the entireprimary key of the entity.
A.	additivity.
B.	granularity.
C.	functional dependency.
D.	dependency.
Answer» D. dependency.

Discussion

89.	Black boxes
A.	This takes only two values. In general, these values will be 0 and 1 and they can be coded as one bit.
B.	The natural environment of a certain species
C.	Systems that can be used without knowledge of internal operations
D.	None of these
Answer» D. None of these

Discussion

90.	Perceptron is
A.	General class of approaches to a problem.
B.	Performing several computations simultaneously.
C.	Structures in a database those are statistically relevant.
D.	Simple forerunner of modern neural networks, without hidden layers.
Answer» E.

Discussion

91.	A definition or a concept is ———————if it does not classify any examples as coming within the concept
A.	Complete
B.	Consistent
C.	Constant
D.	None of these
Answer» C. Constant

Discussion

92.	Contingency table is prepared for _______ attribute data.
A.	ordinal
B.	nominal
C.	binay
D.	integer
Answer» D. integer

Discussion

93.	Multidimensional database is otherwise known as____________.
A.	rdbms
B.	dbms
C.	extended rdbms
D.	extended dbms
Answer» C. extended rdbms

Discussion

94.	MLP stands for ______________________.
A.	mono layer perception.
B.	many layer perception.
C.	more layer perception.
D.	multi layer perception.
Answer» E.

Discussion

95.	Patterns that can be discovered from a given database are which type
A.	more than one type
B.	multiple types always
C.	one type only
D.	no specific type
Answer» B. multiple types always

Discussion

96.	Pick out a k-medoid algoithm.
A.	dbscan.
B.	birch.
C.	pam.
D.	cure.
Answer» D. cure.

Discussion

97.	Patterns is
A.	General class of approaches to a problem.
B.	Performing several computations simultaneously.
C.	Structures in a database those are statistically relevant
D.	Simple forerunner of modern neural networks, without hidden layers.
Answer» D. Simple forerunner of modern neural networks, without hidden layers.

Discussion

98.	Overfitting occurs when a model _________.
A.	does fit in future states.
B.	does not fit in future states.
C.	does fit in current state.
D.	does not fit in current state.
Answer» C. does fit in current state.

Discussion

99.	ROI is an acronym of ________.
A.	return on investment.
B.	return on information.
C.	repetition of information.
D.	runtime of instruction
Answer» B. return on information.

Discussion

100.	SOMs are used to cluster a specific _____________ dataset containing information about the patient'sdrugs etc.
A.	physical.
B.	logical.
C.	medical.
D.	technical.
Answer» D. technical.

Discussion

Explore topic-wise MCQs in Computer Science Engineering (CSE).

When objects are represented using single attribute, the proximity value 1 indicates :

The terms equality and roll up are associated with ____________.

Statistics

____________ are a different paradigm for computing which draws its inspiration from neuroscience.

Which one manages both current and historic transactions?

Source data from the warehouse comes from _______________.

The important aspect of the data warehouse environment is that data found within the datawarehouse is___________.

_____ Lower when objects are more alike.

In ____________, the value of an attribute is examined as it varies over time.

The paths from root node to the nodes labelled 'a' are called __________.

____________ maps data into predefined groups.

The ________ algorithm is based on the observation that the frequent sets are normally very few innumber compared to the set of all itemsets.

___________ is an important functional component of the metadata.

Verification

________ is data that is distilled from the low level of detail found at the current detailed leve.

CLARANS stands for _______.

Data dictionary is

Data warehouse is based on_____________

Reducing the number of attributes to solve the high dimensionality problem is called as ________.

Data transformation includes __________.

The output of KDD is __________.

________________ design involves deciding on their centres and the sharpness of their Gaussians.

_________data consists of sample input data as well as the classification assignment for the data.

The _______ step eliminates the extensions of (k-1)-itemsets which are not found to be frequent,from being considered for counting support.

Each neuron is made up of a number of nerve fibres called _____________.

___________can be thought of as classifying an attribute value into one of a set of possible classes.

________is the most well known association rule algorithm and is used in most commercialproducts.

The biological neuron's _________ is a continuous function rather than a step function.

The _______ step eliminates the extensions of (k-1)-itemsets which are not found to be frequent, frombeing considered for counting support.

If T consist of 500000 transactions, 20000 transaction contain bread, 30000 transaction contain jam,10000 transaction contain both bread and jam. Then the support of bread and jam is _______.

The value that says that transactions in D that support X also support Y is called ______________.

Non-additive measures can often combined with additive measures to create new _________.http://grdmcqonline/printqp.php?heading=II M.Sc(IT) [2012-2014], Se...14 of 34 8/20/2013 2:47 PM

Data mining helps in __________.

Discovery of cross-sales opportunities is called ________________.

RBF have only _______________ hidden layer.

The proportion of transaction supporting X in T is called _________.

BIRCH is a ________.http://grdmcqonline/printqp.php?heading=II M.Sc(IT) [2012-2014], Se...25 of 34 8/20/2013 2:47 PM

____________ of data means that the attributes within a given entity are fully dependent on the entireprimary key of the entity.

Black boxes

Perceptron is

A definition or a concept is ———————if it does not classify any examples as coming within the concept

Contingency table is prepared for _______ attribute data.

Multidimensional database is otherwise known as____________.

MLP stands for ______________________.

Patterns that can be discovered from a given database are which type

Pick out a k-medoid algoithm.

Patterns is

Overfitting occurs when a model _________.

ROI is an acronym of ________.

SOMs are used to cluster a specific _____________ dataset containing information about the patient'sdrugs etc.