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B in particular what type of attributes would you

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(b) In particular, what type of attributes would you have and how many of them are there? 5. Which of the following quantities is likely to show more temporal autocorrelation: daily rainfall or daily temperature? Why? 6. Discuss why a document-term matrix is an example of a data set that has asymmetric discrete or asymmetric continuous features. 7. Many sciences rely on observation instead of (or in addition to) designed experiments. Compare the data quality issues involved in observational science with those of experimental science and data mining. 8. Give at least two advantages to working with data stored in text files instead of in a binary format. 9. Distinguish between noise and outliers. Be sure to consider the following questions. Page 2 of 3
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Faculty of Computers and Information Information Systems Dept. Course: Data Mining (IS 421) (a) Is noise ever interesting or desirable? Outliers? (b) Can noise objects be outliers? (c) Are noise objects always outliers? (d) Are outliers always noise objects? (e) Can noise make a typical value into an unusual one, or vice versa? Good Luck Page 3 of 3
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