Question: please solve part one and two ( data mining subject) 1. For each of the following data sets, explain whether or not data privacy is

please solve part one and two ( data mining subject) please solve part one and two ( data mining subject) 1. For

1. For each of the following data sets, explain whether or not data privacy is an important issue. (a) Census data collected from 1900-1950. (b) IP addresses and visit times of Web users who visit your Website. (c) Images from Earth-orbiting satellites. (d) Names and addresses of people from the telephone book. (e) Names and email addresses collected from the Web. 2. 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) Brightness as measured by people's judgments. (d) Angles as measured in degrees between 0 and 360. (e) Bronze, Silver, and Gold medals as awarded at the Olympics. (f) Height above sea level. (g) Number of patients in a hospital. (h) ISBN numbers for books. (Look up the format on the Web.) (i) Ability to pass light in terms of the following values: opaque, translucent, transparent. (j) Military rank. (k) Distance from the center of campus. (1) Density of a substance in grams per cubic centimeter. (m) Coat check number. (When you attend an event, you can often give your coat to someone who, in turn, gives you a number that you can use to claim your coat when you leave.)

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