Data Mining Techniques Overview

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Questions and Answers

What is the purpose of concept hierarchy generation in data preprocessing?

  • To partition data into equal-frequency bins
  • To organize concepts hierarchically for easier data analysis (correct)
  • To automatically form concept hierarchies for both numeric and nominal data
  • To perform data smoothing by bin means

Which method involves recursively reducing data by replacing low level concepts with higher level concepts?

  • Data reduction
  • Data cleaning
  • Concept hierarchy generation (correct)
  • Data transformation

What is one of the major tasks in data preprocessing according to the text?

  • Data discretization
  • Data integration (correct)
  • Data smoothing
  • Data reduction

How are concept hierarchies usually formed in a data warehouse?

<p>By explicitly specifying them by domain experts or designers (A)</p> Signup and view all the answers

What is the purpose of smoothing by bin means in data preprocessing?

<p>To smoothen the data by using mean values within bins (B)</p> Signup and view all the answers

Which method involves preparing data for further analysis, like classification?

<p>Discretization (A)</p> Signup and view all the answers

What is one possible reason for different attribute values of the same real-world entity from different sources?

<p>Different data types (C)</p> Signup and view all the answers

How can redundant attributes in data integration be detected?

<p>Covariance analysis (A)</p> Signup and view all the answers

Which statistical test is used in correlation analysis for nominal data?

<p>Chi-square test (A)</p> Signup and view all the answers

What does a larger Χ2 value indicate in a Chi-square calculation?

<p>Variables are positively correlated (B)</p> Signup and view all the answers

What does it mean if two variables are 'correlated' according to the text?

<p>They are independent (D)</p> Signup and view all the answers

What does the correlation coefficient measure in correlation analysis for numeric data?

<p>The relationship between two variables (D)</p> Signup and view all the answers

What does simple linear regression involve?

<p>Finding the best line to fit two attributes to predict one another (C)</p> Signup and view all the answers

What is the purpose of outlier analysis in handling noisy data?

<p>Detecting and handling values that fall outside of clusters (C)</p> Signup and view all the answers

In multiple linear regression, what does the error term represent?

<p>Describes how the dependent variable is related to the independent variables (C)</p> Signup and view all the answers

What is one of the factors affecting data discrepancies mentioned in the text?

<p>Respondents not wanting to divulge information (B)</p> Signup and view all the answers

How does smoothing by bin means handle noisy data?

<p>Each value in a bin is replaced by the mean value of the bin (D)</p> Signup and view all the answers

'Data decay' refers to which factor affecting data discrepancies?

<p>Outdated addresses (B)</p> Signup and view all the answers

What is the purpose of data compression in data mining?

<p>To apply transformations and obtain a reduced representation of the original data (B)</p> Signup and view all the answers

Which of the following sampling methods involves selecting objects without removing them from the population?

<p>Sampling with replacement (B)</p> Signup and view all the answers

What is the key principle behind sampling in data mining?

<p>Choosing a representative subset of the data (B)</p> Signup and view all the answers

Which type of sampling is used when drawing samples from each partition proportionally?

<p>Stratified sampling (A)</p> Signup and view all the answers

What is the purpose of data transformation in data preprocessing?

<p>To map values of an attribute to new replacement values (C)</p> Signup and view all the answers

What does discretization in data preprocessing involve?

<p>Dividing the range of a continuous attribute into intervals (C)</p> Signup and view all the answers

What is the purpose of data reduction?

<p>To compress data and reduce dimensionality (A)</p> Signup and view all the answers

What problem does data transformation and discretization aim to solve?

<p>Normalizing and generating concept hierarchies (C)</p> Signup and view all the answers

Which reference discusses declarative data cleaning?

<p>H.Galhardas, D.Florescu, D.Shasha, E.Simon, and C.-A.Saita (C)</p> Signup and view all the answers

In data integration from multiple sources, what is the entity identification problem focused on?

<p>Identifying unique entities across sources (D)</p> Signup and view all the answers

Which aspect is addressed in the reference by J.E.Olson?

<p>Data Quality (A)</p> Signup and view all the answers

What does the reference by V.Raman and J.Hellerstein focus on?

<p>Interactive framework for data cleaning (B)</p> Signup and view all the answers

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