Data Mining and Warehousing

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Questions and Answers

Which of the following is NOT a type of attribute in data mining?

  • Discrete
  • Continuous (correct)
  • Quantitative
  • Qualitative

What are the two scales of measurement for quantitative data?

  • Discrete and Continuous
  • Interval Scaled and Ratio Scaled (correct)
  • Nominal and Ordinal
  • Qualitative and Quantitative

What is a dataset?

  • Structured data
  • A collection of data (correct)
  • Semi-structured data
  • Unstructured data

What are the three categories of datasets?

<p>Record Data, Graph-based Data, and Structured Data (D)</p> Signup and view all the answers

What are real-world data typically characterized by?

<p>Noisy, enormous in volume, and heterogeneous sources (C)</p> Signup and view all the answers

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Study Notes

Data Mining Fundamentals

  • Nominal attribute is NOT a type of attribute in data mining.

Scales of Measurement for Quantitative Data

  • The two scales of measurement for quantitative data are: • Interval scale • Ratio scale

Dataset Definition and Categories

  • A dataset is a collection of data, usually presented in a table or spreadsheet, with each row representing a single observation, and each column representing a variable.
  • The three categories of datasets are: • Microdata: individual-level data • Mesodata: grouped data • Macrodata: aggregated data

Characteristics of Real-World Data

  • Real-world data are typically characterized by: • Noise • Inconsistency • Incompleteness • Irrelevance

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