Structures in a database those are statistically relevant.

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.

The data administration subsystem helps you perform all of the following, except__________.

create, change, and delete information.

A programming language based on logic

A computer where each processor has its own operating system, its own memory, and its own hard disk.

Describes the structure of the contents of a database

The active data warehouse architecture includes __________

data that can extracted from numerous internal and external sources.

Crossover is used to _______.

introduce new genetic structures in the population.

recombine the population\s genetic material.

introduce new genetic structures in the population.

to modify the population\s genetic material.

The granularity of the fact is the _____ of detail at which it is recorded.

transformation and summarization.

The actual discovery phase of a knowledge discovery process

The stage of selecting the right data for a KDD process

A subject-oriented integrated time- variant non-volatile collection of data in support of management

The main organizational justification for implementing a data warehouse is to provide ______.

cheaper ways of handling transportation.

Unsupervised algorithms

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

It do 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.

347 + Mcqs in Data Mining And Warehouse in Computer Science Engineering (CSE) Page 3 McqOptions

101.	_________ is a the input to KDD.
A.	data.
B.	information.
C.	query.
D.	process.
Answer» B. information.

Discussion

102.	__________ clustering techniques starts with all records in one cluster and then try to split that clusterinto small pieces.
A.	agglomerative.
B.	divisive.
C.	partition.
D.	numeric.
Answer» C. partition.

Discussion

103.	Extreme values that occur infrequently are called as _________.
A.	outliers.
B.	rare values.
C.	dimensionality reduction.
D.	all of the above.
Answer» B. rare values.

Discussion

104.	Parallelism 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» C. Structures in a database those are statistically relevant.

Discussion

105.	In web mining, _______ is used to find natural groupings of users, pages, etc.
A.	clustering.
B.	associations.
C.	sequential analysis.
D.	classification.
Answer» B. associations.

Discussion

106.	A frequent pattern tree is a tree structure consisting of ________.
A.	an item-prefix-tree.
B.	a frequent-item-header table.
C.	a frequent-item-node.
D.	both a & b.
Answer» E.

Discussion

107.	____________ are some popular OLAP tools.
A.	metacube, informix.
B.	oracle express, essbase.
C.	holap.
D.	molap.
Answer» B. oracle express, essbase.

Discussion

108.	_______ is concerned with discovering the model underlying the link structures of the web.
A.	web content mining.
B.	web structure mining.
C.	web usage mining.
D.	all of the above.
Answer» C. web usage mining.

Discussion

109.	The partition algorithm uses _______ scans of the databases to discover all frequent sets.
A.	two.
B.	four.
C.	six.
D.	eight.
Answer» B. four.

Discussion

110.	Which are the applications of proximity measures?
A.	classification
B.	clustering
C.	knn classifier
D.	all of these
Answer» E.

Discussion

111.	The sigmoid function also knows as __________functions.
A.	regression.
B.	logistic.
C.	probability.
D.	neural.
Answer» C. probability.

Discussion

112.	Pick out a hierarchical clustering algorithm.
A.	dbscan
B.	birch.
C.	pam.
D.	cure.
Answer» B. birch.

Discussion

113.	The frequent-item-header-table consists of __________ fields.
A.	only one.
B.	two.
C.	three.
D.	four.
Answer» C. three.

Discussion

114.	The transformed prefix paths of a node 'a' form a truncated database of pattern which co-occur with ais called _______.
A.	suffix path.
B.	fp-tree.
C.	conditional pattern base.
D.	prefix path.
Answer» D. prefix path.

Discussion

115.	Web content mining describes the discovery of useful information from the _______contents.
A.	text.
B.	web.
C.	page.
D.	level.
Answer» C. page.

Discussion

116.	Certain itemsets in the dashed circle whose support count reach support value during an iterationmove into the ______.
A.	dashed box.
B.	solid circle.
C.	solid box.
D.	none of the above.
Answer» B. solid circle.

Discussion

117.	________________ is an expensive process in building an expert system.
A.	analysis.
B.	study.
C.	design.
D.	information collection.
Answer» E.

Discussion

118.	Exceptional reporting in data warehousing is otherwise called as __________.
A.	exception.
B.	alerts.
C.	errors.
D.	bugs.
Answer» C. errors.

Discussion

119.	_______ mining is concerned with discovering the model underlying the link structures of the web.
A.	data structure.
B.	web structure.
C.	text structure.
D.	image structure.
Answer» C. text structure.

Discussion

120.	SOM is an acronym of _______________.
A.	self-organizing map.
B.	self origin map.
C.	single organizing map.
D.	simple origin map.
Answer» B. self origin map.

Discussion

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

Discussion

122.	The data administration subsystem helps you perform all of the following, except__________.
A.	backups and recovery.
B.	query optimization.
C.	security management.
D.	create, change, and delete information.
Answer» E.

Discussion

123.	_______test is used in an online transactional processing environment.
A.	mega.
B.	micro.
C.	macro.
D.	acid.
Answer» E.

Discussion

124.	Meta-data is
A.	A programming language based on logic
B.	A computer where each processor has its own operating system, its own memory, and its own hard disk.
C.	Describes the structure of the contents of a database
D.	None of these
Answer» D. None of these

Discussion

125.	Data redundancy between the environments results in less than ____________percent.
A.	one.
B.	two.
C.	three.
D.	four.
Answer» B. two.

Discussion

126.	The active data warehouse architecture includes __________
A.	at least one data mart.
B.	data that can extracted from numerous internal and external sources.
C.	near real-time updates.
D.	all of the above.
Answer» E.

Discussion

127.	Treating incorrect or missing data is called as ___________.
A.	selection.
B.	preprocessing.
C.	transformation.
D.	interpretation.
Answer» C. transformation.

Discussion

128.	Crossover is used to _______.
A.	recombine the population\s genetic material.
B.	introduce new genetic structures in the population.
C.	to modify the population\s genetic material.
D.	all of the above.
Answer» B. introduce new genetic structures in the population.

Discussion

129.	The granularity of the fact is the _____ of detail at which it is recorded.
A.	transformation.
B.	summarization.
C.	level.
D.	transformation and summarization.
Answer» D. transformation and summarization.

Discussion

130.	Any superset of an infrequent set is an infrequent set. This is _______.
A.	maximal frequent set.
B.	border set.
C.	upward closure property.
D.	downward closure property.
Answer» D. downward closure property.

Discussion

131.	SOM was developed during ____________.
A.	1970-80.
B.	1980-90.
C.	1990 -60.
D.	1979 -82.
Answer» E.

Discussion

132.	The ___________ engine for a data warehouse supports query-triggered usage of data
A.	nntp
B.	smtp
C.	olap
D.	pop
Answer» D. pop

Discussion

133.	___________ of data means that the attributes within a given entity are fully dependent on theentire primary key of the entity.
A.	additivity.
B.	granularity.
C.	functional dependency.
D.	dimensionality.
Answer» D. dimensionality.

Discussion

134.	Research on mining multi-types of data is termed as _______ data.
A.	graphics.
B.	multimedia.
C.	meta.
D.	digital.
Answer» C. meta.

Discussion

135.	Box plot and scatter diagram techniques are _______.
A.	graphical.
B.	geometric.
C.	icon-based.
D.	pixel-based.
Answer» C. icon-based.

Discussion

136.	Data warehouse is
A.	The actual discovery phase of a knowledge discovery process
B.	The stage of selecting the right data for a KDD process
C.	A subject-oriented integrated time- variant non-volatile collection of data in support of management
D.	None of these
Answer» D. None of these

Discussion

137.	The data in current detail level resides till ________ event occurs.
A.	purge.
B.	summarization.
C.	archieved.
D.	all of the above.
Answer» E.

Discussion

138.	The term that is not associated with data cleaning process is ______.
A.	domain consistency.
B.	deduplication.
C.	disambiguation.
D.	segmentation.
Answer» E.

Discussion

139.	In web mining, _________ is used to know which URLs tend to be requested together.
A.	clustering.
B.	associations.
C.	sequential analysis.
D.	classification.
Answer» C. sequential analysis.

Discussion

140.	The a priori frequent itemset discovery algorithm moves _______ in the lattice.
A.	upward.
B.	downward.
C.	breadthwise.
D.	both upward and downward.
Answer» B. downward.

Discussion

141.	Converting data from different sources into a common format for processing is called as ________.
A.	selection.
B.	preprocessing.
C.	transformation.
D.	interpretation.
Answer» D. interpretation.

Discussion

142.	The main organizational justification for implementing a data warehouse is to provide ______.
A.	cheaper ways of handling transportation.
B.	decision support.
C.	storing large volume of data.
D.	access to data.
Answer» D. access to data.

Discussion

143.	Various visualization techniques are used in ___________ step of KDD.
A.	selection.
B.	transformaion.
C.	data mining.
D.	interpretation.
Answer» E.

Discussion

144.	Unsupervised algorithms
A.	It do 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» B. An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars.

Discussion

145.	The non-root node of item-prefix-tree consists of ________ fields.
A.	two.
B.	three.
C.	four.
D.	five.
Answer» C. four.

Discussion

146.	Identify the correct subtype of Binary attribute.
A.	ordinal
B.	asymmetric
C.	symmetric
D.	both b and c
Answer» E.

Discussion

147.	The itemsets in the _______category structures are not subjected to any counting.
A.	dashes.
B.	box.
C.	solid.
D.	circle.
Answer» D. circle.

Discussion

148.	Strategic value of data mining is ______________.
A.	cost-sensitive.
B.	work-sensitive.
C.	time-sensitive.
D.	technical-sensitive.
Answer» D. technical-sensitive.

Discussion

149.	The itemsets that have completed on full pass move from dashed circle to ________.
A.	dashed box.
B.	solid circle.
C.	solid box.
D.	none of the above.
Answer» C. solid box.

Discussion

150.	Data set of designation {Professor, Assistant Professor, Associate Professor} is example of__________attribute.
A.	continuous
B.	ordinal
C.	numeric
D.	nominal
Answer» E.

Discussion

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

_________ is a the input to KDD.

__________ clustering techniques starts with all records in one cluster and then try to split that clusterinto small pieces.

Extreme values that occur infrequently are called as _________.

Parallelism is

In web mining, _______ is used to find natural groupings of users, pages, etc.

A frequent pattern tree is a tree structure consisting of ________.

____________ are some popular OLAP tools.

_______ is concerned with discovering the model underlying the link structures of the web.

The partition algorithm uses _______ scans of the databases to discover all frequent sets.

Which are the applications of proximity measures?

The sigmoid function also knows as __________functions.

Pick out a hierarchical clustering algorithm.

The frequent-item-header-table consists of __________ fields.

The transformed prefix paths of a node 'a' form a truncated database of pattern which co-occur with ais called _______.

Web content mining describes the discovery of useful information from the _______contents.

Certain itemsets in the dashed circle whose support count reach support value during an iterationmove into the ______.

________________ is an expensive process in building an expert system.

Exceptional reporting in data warehousing is otherwise called as __________.

_______ mining is concerned with discovering the model underlying the link structures of the web.

SOM is an acronym of _______________.

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

The data administration subsystem helps you perform all of the following, except__________.

_______test is used in an online transactional processing environment.

Meta-data is

Data redundancy between the environments results in less than ____________percent.

The active data warehouse architecture includes __________

Treating incorrect or missing data is called as ___________.

Crossover is used to _______.

The granularity of the fact is the _____ of detail at which it is recorded.

Any superset of an infrequent set is an infrequent set. This is _______.

SOM was developed during ____________.

The ___________ engine for a data warehouse supports query-triggered usage of data

___________ of data means that the attributes within a given entity are fully dependent on theentire primary key of the entity.

Research on mining multi-types of data is termed as _______ data.

Box plot and scatter diagram techniques are _______.

Data warehouse is

The data in current detail level resides till ________ event occurs.

The term that is not associated with data cleaning process is ______.

In web mining, _________ is used to know which URLs tend to be requested together.

The a priori frequent itemset discovery algorithm moves _______ in the lattice.

Converting data from different sources into a common format for processing is called as ________.

The main organizational justification for implementing a data warehouse is to provide ______.

Various visualization techniques are used in ___________ step of KDD.

Unsupervised algorithms

The non-root node of item-prefix-tree consists of ________ fields.

Identify the correct subtype of Binary attribute.

The itemsets in the _______category structures are not subjected to any counting.

Strategic value of data mining is ______________.

The itemsets that have completed on full pass move from dashed circle to ________.

Data set of designation {Professor, Assistant Professor, Associate Professor} is example of__________attribute.