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Author Question: Data-mining methods for predicting an outcome based on a set of input variables is referred to as ... (Read 101 times)

809779

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on: Jun 24, 2018
Data-mining methods for predicting an outcome based on a set of input variables is referred to as
 a. supervised learning.
  b. unsupervised learning.
  c. dimension reduction.
  d. data sampling.

Question 2

Which of the following reasons contributes to the increase in the use of data-mining techniques in business?
 a. The lack of methods to electronically track data
  b. The dearth of information to analyze and interpret
  c. The ability to electronically warehouse data
  d. The ability to manually analyze all the data


jackie

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Reply #1 on: Jun 24, 2018
Answer to Question 1

a
RATIONALE: Supervised learning is a data-mining method for predicting an outcome based on a set of input variables.

Answer to Question 2

c
RATIONALE: The increase in the use of data-mining techniques in business has been caused largely by three events: the explosion in the amount of data being produced and electronically tracked, the ability to electronically warehouse these data, and the affordability of computer power to analyze the data.


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