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Questions and Answers
Which of the following is NOT a type of attribute in data mining?
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?
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?
What is a dataset?
- Structured data
- A collection of data (correct)
- Semi-structured data
- Unstructured data
What are the three categories of datasets?
What are the three categories of datasets?
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What are real-world data typically characterized by?
What are real-world data typically characterized by?
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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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