Data Mining & Data Ware House Questions and Answers

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Q61
Machine learning is
  • A An algorithm that can learn
  • B A sub-discipline of computer science that deals with the design and implementation of learning algorithms.
  • C An approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machine learning.
  • D None of these
Answer: Option B
Q62
Inductive  logic programming is
  • A A class of learning algorithm that try to derive a prolog program from examples
  • B A table with n independent attributes can be seen as an n- dimensionlal space
  • C A prediction made using an extremely simpl method, such as always predicting the same output.
  • D None of these
Answer: Option A
Q63
Multi-dimensional knowledge is
  • A A class of learning algorithms that try to derive a Prolog program from examples
  • B A table with n independent attributes can be seen as an n- dimensional space
  • C A pediction made using an extremely simple method, such as always predicting the same output.
  • D None of these
Answer: Option B
Q64
Naive prediction is
  • A A class of learning algorithms that try to derive a Prolog program from examples
  • B A table with n independent attributes can be seen as an n -dimensional space
  • C A prediction made using an extremely simple method, such asalways predicting the same output
  • D None of these
Answer: Option C
Q65
Knowledge is referred to
  • A Non-trivial extraction of implicit previously unknown and potentially useful information from dat(A)
  • B Set of columns in a database table that can be used to identify each record within this table uniquely
  • C collection of interesting and useful patterns in a database
  • D none of these
Answer: Option C
Q66
Node is
  • A A component of network
  • B In the context of KDD and data mining this refers to random errors in a database table
  • C One of the defining aspects of a data warehouse
  • D None of these
Answer: Option C
Q67
Node is
  • A A component of a network
  • B In the context of KDD and data mining, this refers to random errors in a database table
  • C One of the defining aspects of a d ata warehouse
  • D None of these
Answer: Option A
Q68
Node is
  • A A component of a network
  • B In the context of KDD and data mining, this refers to random errors in a database table
  • C One of the defining aspects of a data warehouse
  • D None of these
Answer: Option A
Q69
Projection pursuit is
  • A The result of the application of a theory or a rule in a specific case
  • B 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.
  • C Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces
  • D None of these
Answer: Option C
Q70
Statistical significance is
  • A The science of collecting, organizing, and applying numberical facts
  • B Measure of the probabiity 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: Option B

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