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Exam (elaborations)

LSUS HCAD 750 Questions and Correct Answers the Latest Update

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  • Lsus Hcad 750

(T/F) The term "knowledge discovery" is key, as data mining looks at data from different vantage points, aspects, and perspectives and brings new insights to the data set. True (T/F) As defined by Gene Glass, the term meta-analysis is "the statistical analysis of a large collection of result...

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  • November 12, 2024
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  • 2024/2025
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  • Lsus hcad 750
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LSUS HCAD 750 Questions and Correct
Answers the Latest Update
(T/F) The term "knowledge discovery" is key, as data mining looks at data from different

vantage points, aspects, and perspectives and brings new insights to the data set.

✓ True



(T/F) As defined by Gene Glass, the term meta-analysis is "the statistical analysis of a large

collection of results from individual studies for the purpose of integrating findings."

✓ True



According to AHIMA's model, which of the following is not a characteristic of Data Quality

✓ Cleanness



Which data mining model uses the organization's same business model, but makes

improvements by simply thinking differently?

✓ Six sigma



Which of the following are phases of data mining?




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✓ All answers are correct choices

✓ a. Discovery of patterns

✓ b. Exploration of data

✓ c. Applying knowledge

✓ d. Identification of problems



A literature review...

✓ Is a systematic and critical investigation of the important information about a topic



Which data mining concept identifies a variable by exposing more data?

✓ Drill down



When working with data, ___________ is key, as data mining looks at the data from

different vantage points, aspects, and perspectives and brings new insights to the data set.

✓ Knowledge discovery



(T/F) Health care does not generate big data

✓ False



Much of our ___________ is unstructured and resides in text files representing more than 75%

of an organization's data. Because this data is not contained in databases, it can be easily

overlooked, even though what it contains can provide meaningful insights.

✓ Big Data



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