5 Questions
Which of the following is NOT a type of attribute in data mining?
Continuous
What are the two scales of measurement for quantitative data?
Interval Scaled and Ratio Scaled
What is a dataset?
A collection of data
What are the three categories of datasets?
Record Data, Graph-based Data, and Structured Data
What are real-world data typically characterized by?
Noisy, enormous in volume, and heterogeneous sources
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
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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