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Multiple choice questions Try the following questions to test your knowledge of this chapter. Once you have answered the questions, click on 'Submit Answers for Grading' to get your results. This activity contains 21 questions.

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CS1011: DATA WAREHOUSING AND MINING TWO MARKS QUESTIONS AND ANSWERS Data mining. It refers to extracting or “mining” knowledge from large amount of data. Data mining is a process of discovering interesting knowledge from large amounts of data stored either, in database, data warehouse, or other information repositories

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Jun 04, 2014· 9. Which of the following is not a component of a data warehouse? A) Metadata B) Current detail data C) Lightly summarized data D) Component Key. 10. Which of the following is not a kind of data warehouse application? A) Information processing B) Analytical processing C) Data mining D) Transaction processing. Answers: 1. The full form of OLAP is

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by Tan, Steinbach, Kumar University of Minnesota

Why Mine Data? Scientific Viewpoint OData collected and stored at enormous speeds (GB/hour) – remote sensors on a satellite – telescopes scanning the skies – microarrays generating gene

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