Data Mining & Data Ware House Questions and Answers

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Q51
KDD (Knowledge Discovery in Database) is referred to
  • A Non-trivial extrction of implicit previusly 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 A
Q52
Key is referred to
  • A Non-trival extrction 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 tabel uniquely
  • C Collection of interesting and useful patterns in database
  • D None of these
Answer: Option B
Q53
Inductive learning is
  • A Machine-learning involving different techniques
  • B The learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned
  • C Learning by generalizing from examples
  • D None of these
Answer: Option C
Q54
Integrated is
  • A The amount of information with in data as opposed to the amount of redundancy or noise
  • B One of the defining aspects of a data warehouse
  • C Restriction that requires data in one column of a database table to the sub-set of another-column
  • D None of these
Answer: Option B
Q55
Knowledge engineering is
  • A The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
  • B It automatically maps an external signal space into a system's internal representational space. They are useful in the performance of classification tasks
  • C A process where an individual learns how to carry out a certain task when situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out.
  • D None of these
Answer: Option A
Q56
Kohonen self-organizing map referred to
  • A The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
  • B It automatically maps an external signal space into a system's internal representational space. they are useful in the performance of classification tasks
  • C A process where an individual learns how a carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstaces can be carried out.
  • D None of these
Answer: Option B
Q57
Learning is
  • A The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
  • B It automatically maps an external signal space into a system's internal representational space. they are useful in the performance of classification tasks.
  • C A process where an individual learns how to carry out a certain task when making a transition from a situation in a situation in which the same task under the same circumstances can be carried out.
  • D None of these
Answer: Option C
Q58
Learning algorithm referrers to
  • A An algorithm that can learn
  • B A sub-discipline of computer science that deals with the design and imp-lementation of learning algorithms.
  • C A machine-learning 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 A
Q59
Meta-learning is
  • A An algorithm that can learn
  • B A sub-discipline of computerscience that deals with the design and implementation of learning algorithms.
  • C A machine-learning approach that abstracts from the actual strategy of an invdividual algorithm and can therefore be applied to any other form of machine learning.
  • D None of these
Answer: Option A
Q60
Meta-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 A machine-learning approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machiner learning
  • D None of these
Answer: Option C

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