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Author Question: ______________ is NOT a step of Data Mining Process. a. Data sampling b. Data partitioning c. ... (Read 117 times)

xclash

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on: Jun 24, 2018
______________ is NOT a step of Data Mining Process.
 a. Data sampling
  b. Data partitioning
  c. Model construction
  d. Supervised learning

Question 2

_______________ approaches are designed to describe patterns and relationships in large data sets with many observations of many variables.
 a. Data mining b. Unsupervised learning
  c. Dimension reduction d. Data sampling


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bulacsom

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

d
RATIONALE: Supervised learning is a category of data-mining techniques in which an algorithm learns how to predict or classify an outcome variable of interest. Linear regression is a well-known supervised learning approach from classical statistics.

Answer to Question 2

b
RATIONALE: Unsupervised learning approaches are designed to describe patterns and relationships in large data sets with many observations of many variables


xclash

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Reply #2 on: Jun 24, 2018
Correct answers!


bulacsom

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Reply #3 on: Jun 24, 2018
Great! Please up vote :D


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