Which of the following is NOT a mechanism to de-identify data? A. Aggregation. B. Interpolation. C. Obfuscation. D. Truncation.
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Which of the following is NOT a
mechanism to de-identify data?A. Aggregation.
B. Interpolation.
C. Obfuscation.
D. Truncation.
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- What connotations does the term "data abstraction" have for you? In what different ways is it possible to dissect a dataset?How do you interpret "data abstraction"? How may a dataset be dissected?Which of the studied data structures in this course would be the most appropriate choice for the following tasks? And Why? a. An Exam Center needs to maintain a database of 3000 students' IDs who registered in a professional certification course. The goal is to find rapidly whether or not a given ID is in the database. Hence, the speed of response is very important; efficient use of memory is not important. No ordering information is required among the identification numbers. b. A transposition table is a cache of previously seen positions in a game tree generated by a computer game playing program. If a position recurs via a different sequence of moves, the value of the position is retrieved from the table, avoiding re-searching the game tree below that position.
- What are the connotations associated with the term "data abstraction" from your perspective? What are the various methods available for dissecting a dataset?Answer true or false. Bias and variance errors are errors that could be present in a raw structured data set before the data cleansing process. True FalseWhen you say "metadata," what do you mean exactly? In the setting of a dataset, we can say the following about metadata: When might it be helpful to use information pulled from a set of results?
- When you say "metadata," what do you mean exactly? In the context of a data set, the following is a definition of metadata: When might it be helpful to use information pulled from a set of results?What are all the different normalizations?What is meant by "data manipulation language" (DML)? Give me the rundown.
- When you mention "metadata," what exactly do you mean? Metrics used to describe the contents of a dataset Does a result set's information come in use at any point?What is reconciled data?Explain in your own words: a.) What is metadata? b.) What is result set metadata? c.) When is result set metadata useful?