sheet#2 - Faculty of Computers and Information Information Systems Dept Course Data Mining(IS 421 Sheet 2 1 Classify the following attributes as binary

sheet#2 - Faculty of Computers and Information Information...

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Faculty of Computers and Information Information Systems Dept. Course: Data Mining (IS 421) Sheet # 2 1. Classify the following attributes as binary, discrete, or continuous. Also classify them as qualitative (nominal or ordinal) or quantitative (interval or ratio). Some cases may have more than one interpretation, so briefly indicate your reasoning if you think there may be some ambiguity. Example: Age in years. Answer: Discrete, quantitative, ratio (a) Time in terms of AM or PM. (b) Brightness as measured by a light meter. (c) Course grades (d) Brightness as measured by people’s judgments. (e) Angles as measured in degrees between 0 and 360 . (f) Population of a country in millions (g) Bronze, Silver, and Gold medals as awarded at the Olympics. (h) Height above sea level (i) Number of patients in a hospital. (j) Employee gender (k) ISBN numbers for books. (l) Ability to pass light in terms of the following values: opaque, translucent, transparent.
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  • Data Mining, Topological space, Information Systems Dept

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