Data Mining and Warehousing
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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</p> Signup and view all the answers

    What are real-world data typically characterized by?

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

    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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    Description

    Test your knowledge on data mining and warehousing with this quiz. Learn about data objects, attribute types, basic statistical descriptions of data, and measuring data similarity and dissimilarity. Get ready to expand your understanding of data with this informative quiz.

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