Data mining mcq set 4

Q121: Nominal and ordinal attributes can be collectively referred to as___attributes

Answer option

  • A. perfect
  • B. consistent
  • C. qualitative
  • D. optimized
Answer

Answer C. qualitative

Q122: The number of item sets of cardinality 4 from the items lists {A, B, C, D, E}

Answer option

  • A. 20
  • B. 2
  • C. 10
  • D. 5
Answer

Answer A. 20

Q123: Identify the example of Nominal attribute

Answer option

  • A. Salary
  • B. Temperature
  • C. Gender
  • D. Mass
Answer

Answer C. Gender

Q124: Which of the following are descriptive data mining activities?

Answer option

  • A. Clustering
  • B. Deviation detection
  • C. Regression
  • D. Classification
Answer

Answer A. Clustering

Q125: Which statement is not TRUE regarding a data mining task? Select one

Answer option

  • A. Deviation detection is a predictive data mining task
  • B. Classification is a predictive data mining task
  • C. Clustering is a descriptive data mining task
  • D. Regression is a descriptive data mining task
Answer

Answer D. Regression is a descriptive data mining task

Q126: Correlation analysis is used for

Answer option

  • A. identifying redundant attributes
  • B. eliminating noise
  • C. handling missing values
  • D. handling different data formats
Answer

Answer A. identifying redundant attributes

Q127: In Binning, we first sort data and partition into (equal-frequency) bins and then which of the following is not a valid step

Answer option

  • A. smooth by bin boundaries
  • B. smooth by bin median
  • C. smooth by bin values
  • D. smooth by bin means
Answer

Answer C. smooth by bin values

Q128: Which of the following is NOT data mining efficiency/scalability issue?

Answer option

  • A. The running time of a data mining algorithm
  • B. Incremental execution
  • C. Data partitioning
  • D. Easy to use user interface
Answer

Answer D. Easy to use user interface

Q129: Synonym for data mining is

Answer option

  • A. Data Warehouse
  • B. Knowledge discovery in database
  • C. Business intelligence
  • D. OLAP
Answer

Answer B. Knowledge discovery in database

Q130: Data scrubbing can be defined as

Answer option

  • A. Check field overloading
  • B. Delete redundant tuples
  • C. Use simple domain knowledge (e.g., postal code, spell-check) to detect errors and make ions
  • D. Analyzing data to discover rules and relationship to detect violators
Answer

Answer C. Use simple domain knowledge (e.g., postal code, spell-check) to detect errors and make ions

Q131: In asymmetric attibute

Answer option

  • A. Range of values is important
  • B. No value is considered important over other values
  • C. Only non-zero value is important
  • D. All values are equals
Answer

Answer B. No value is considered important over other values

Q132: Adaptive system management is

Answer option

  • A. It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations
  • B. Computational procedure that takes some value as input and produces some value as output
  • C. Science of making machines performs tasks that would require intelligence when performed by humans
  • D. None of these
Answer

Answer A. It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations

Q133: Bayesian classifiers is

Answer option

  • A. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory
  • B. Any mechanism employed by a learning system to constrain the search space of a hypothesis
  • C. 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
  • D. None of these
Answer

Answer A. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory

Q134: Algorithm is

Answer option

  • A. It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations
  • B. Computational procedure that takes some value as input and produces some value as output
  • C. Science of making machines performs tasks that would require intelligence when performed by humans
  • D. None of these
Answer

Answer B. Computational procedure that takes some value as input and produces some value as output

Q135: Bias is

Answer option

  • A. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory
  • B. Any mechanism employed by a learning system to constrain the search space of a hypothesis
  • C. 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
  • D. None of these
Answer

Answer B. Any mechanism employed by a learning system to constrain the search space of a hypothesis

Q136: Background knowledge referred to

Answer option

  • A. Additional acquaintance used by a learning algorithm to facilitate the learning process
  • B. A neural network that makes use of a hidden layer
  • C. It is a form of automatic learning
  • D. None of these
Answer

Answer A. Additional acquaintance used by a learning algorithm to facilitate the learning process

Q137: Case-based learning is

Answer option

  • A. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory
  • B. Any mechanism employed by a learning system to constrain the search space of a hypothesis
  • C. 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
  • D. None of these
Answer

Answer C. 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

Q138: Classification is

Answer option

  • A. A subdivision of a set of examples into a number of classes
  • B. A measure of the accuracy, of the classification of a concept that is given by a certain theory
  • C. The task of assigning a classification to a set of examples
  • D. None of these
Answer

Answer A. A subdivision of a set of examples into a number of classes

Q139: Binary attribute are

Answer option

  • 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

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

Q140: Classification accuracy is

Answer option

  • A. A subdivision of a set of examples into a number of classes
  • B. Measure of the accuracy, of the classification of a concept that is given by a certain theory
  • C. The task of assigning a classification to a set of examples
  • D. None of these
Answer

Answer B. Measure of the accuracy, of the classification of a concept that is given by a certain theory

Q141: Biotope are

Answer option

  • 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

Answer B. The natural environment of a certain species

Q142: Cluster is

Answer option

  • A. Group of similar objects that differ significantly from other objects
  • B. Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm
  • C. Symbolic representation of facts or ideas from which information can potentially be extracted
  • D. None of these
Answer

Answer A. Group of similar objects that differ significantly from other objects

Q143: Black boxes are

Answer option

  • 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 C
Answer

Answer D. None of these C

Q144: A definition of a concept is___if it recognizes all the instances of that concept

Answer option

  • A. Complete
  • B. Consistent
  • C. Constant
  • D. None of these
Answer

Answer A. Complete

Q145: Which of the following statement is not TRUE for a Tag Cloud

Answer option

  • A. Tag cloud is a visualization of statistics of user-generated tags
  • B. Tag cloud can be used for numeric data only
  • C. The importance of a tag is indicated by font size or color
  • D. Tags may be listed alphabetically in a tag cloud The correct answer is: Tag cloud can be used for numeric data only
Answer

Answer B. Tag cloud can be used for numeric data only

Q146: Which of the following data mining task is known as Market Basket Analysis?

Answer option

  • A. Clasification
  • B. Regression
  • C. Association Analysis
  • D. Outlier Analysis
Answer

Answer C. Association Analysis

Q147: Which of the following activities is a data mining task?

Answer option

  • A. Monitoring the heart rate of a patient for abnormalities
  • B. Dividing the customers of a company according to their profitability
  • C. Extracting the frequencies of a sound wave
  • D. Predicting the outcomes of tossing a (fair) pair of dice
Answer

Answer A. Monitoring the heart rate of a patient for abnormalities

Q148: Sorted data (attribute values ) for price are: 4, 8, 9, 15, 21, 21, 24, 25, 26, 28, 29, 34. Identify which is NOT a bin smoothed by boundaries?

Answer option

  • A. Bin 2: 21, 21, 25, 25
  • B. Bin 1: 4, 4, 4, 15
  • C. Bin 1: 4, 4, 15, 15
  • D. Bin 3: 26, 26, 26, 34
Answer

Answer C. Bin 1: 4, 4, 15, 15

Q149: The Correct answer is: unlike unsupervised learning, supervised learning needs labeled data The Data Sets are made up of

Answer option

  • A. Data Objects
  • B. Attributes
  • C. Dimensions
  • D. Database
Answer

Answer A. Data Objects

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