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This set of Data Mining and Data Warehouse Multiple Choice Questions & Answers (MCQs) focuses on Data Mining And Warehouse Set 16

Q1 | Prediction is
  • The result of the application of a theory or a rule in a specific case
  • One of several possible enters within a database table that is chosen by the designer as the primary means of accessing the data in the table.
  • Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces.
  • None of these
Q2 | Primary key is
  • The result of the application of a theory or a rule in a specific case
  • One of several possible enters within a database table that is chosen by the designer as the primary means of accessing the data in the table
  • Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces.
  • None of these
Q3 | Noise is
  • A component of a network
  • In the context of KDD and data mining, this refers to random errors in a database table.
  • One of the defining aspects of a data warehouse
  • None of these
Q4 | Quadratic complexity is
  • A reference to the speed of an algorithm, which is quadratically dependent on the size of the dat(A)
  • Attributes of a database table that can take only numerical values.
  • Tools designed to query a database.
  • None of these
Q5 | Query tools are
  • A reference to the speed of an algorithm, which is quadratically dependent on the size of the dat(A)
  • Attributes of a database table that can take only numerical values.
  • Tools designed to query a database.
  • None of these
Q6 | Prolog is
  • 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.
  • None of these
Q7 | Massively parallel machine is
  • 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.
  • None of these
Q8 | Meta-data is
  • 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
  • None of these
Q9 | n(log n) is referred to
  • A measure of the desired maximal complexity of data mining algorithms
  • A database containing volatile data used for the daily operation of an organization
  • Relational database management system
  • None of these
Q10 | Operational database is
  • A measure of the desired maximal complexity of data mining algorithms
  • A database containing volatile data used for the daily operation of an organization
  • Relational database management system
  • None of these
Q11 | Oracle is referred to
  • A measure of the desired maximal complexity of data mining algorithms
  • A database containing volatile data used for the daily operation of an organization
  • Relational database management system
  • None of these
Q12 | Paradigm is
  • 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.
Q13 | Patterns is
  • 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.
Q14 | Parallelism is
  • 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.
Q15 | Perceptron is
  • 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.
Q16 | Shallow knowledge
  • The large set of candidate solutions possible for a problem
  • The information stored in a database that can be, retrieved with a single query.
  • Worth of the output of a machine- learning program that makes it under- standable for humans
  • None of these
Q17 | Statistics
  • 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)
  • None of these
Q18 | Subject orientation
  • 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)
  • None of these
Q19 | Search space
  • The large set of candidate solutions possible for a problem
  • The information stored in a database that can be, retrieved with a single query.
  • Worth of the output of a machine- learning program that makes it understandable for humans
  • None of these
Q20 | Transparency
  • The large set of candidate solutions possible for a problem
  • The information stored in a database that can be, retrieved with a single query.
  • Worth of the output of a machine- learning program that makes it under- standable for humans
  • None of these
Q21 | Quantitative attributes are
  • A reference to the speed of an algorithm, which is quadratically dependent on the size of the dat(A)
  • Attributes of a database table that can take only numerical values.
  • Tools designed to query a database.
  • None of these
Q22 | Unsupervised algorithms
  • 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.
  • None of these
Q23 | Vector
  • 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.
  • None of these
Q24 | Verification
  • 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
  • None of these
Q25 | Visualization techniques are
  • A class of graphic techniques used to visualize the contents of a database
  • The division of a certain space into various areas based on guide points.
  • A branch that connects one node to another
  • None of these