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MHA 705 Exam 5 Study Questions and Answers 2024 $12.49   Add to cart

Exam (elaborations)

MHA 705 Exam 5 Study Questions and Answers 2024

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  • MHA 705

Data Mining focusing on producing a solution that generates useful forecasting through a four phase process 1. Problem identification 2. Exploration of the data 3. Pattern discovery 4. Knowledge deployment—application to new data to forecast or generate predictions Data Mining facilitate...

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  • September 7, 2024
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MHA 705 Exam 5


MHA 705 Exam 5 Study Questions and
Answers 2024

Data Mining focusing on producing a solution that generates useful forecasting through a four
phase process

1. Problem identification

2. Exploration of the data

3. Pattern discovery

4. Knowledge deployment—application to new data to forecast or generate predictions




Data Mining facilitates

data exploration;



-Resulting knowledge discovery fosters proactive, knowledge driven decision making




Exploratory Data Analysis (EDA)

Pattern discovery is a complex phase of data mining.

-Yields a highly predictive, consistent pattern identifying model

-Sometimes known as model building or pattern identification




Data Mining Known as KDD

- Knowledge discovery and data mining


MHA 705 Exam 5

, MHA 705 Exam 5

- Knowledge discovery and data

- Knowledge discovery in databases




KDD

- Term "knowledge discovery" is key

- Data mining looks at the data from different vantage points, aspects, and perspectives

- Brings new insights to the data set




Data Mining Defined

Process of finding correlations or patterns among the data




Data Mining is considered ______ data analysis because:

secondary; data miners use databases created by others, often for purposes unrelated to
research and data mining.




KDD and Research

Healthcare researchers are positioned to use data mining technologies to transform the
repositories of big data into comprehensible knowledge that is useful for guiding their practice
and facilitating interdisciplinary research.




Classification and Regression Trees (CART)

Data mining method for analyzing outcomes and service use


MHA 705 Exam 5

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