MHA 705 Exam 5
Data Mining focusing on producing a solution that generates useful forecasting through a four phase process - Answer- 1. Problem identification
2. Exploration of the data
3. Pattern discovery
4. Knowledge deployment—application to new data to forecast or generate predictions
...
MHA 705 Exam 5
Data Mining focusing on producing a solution that generates useful forecasting
through a four phase process - Answer- 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 - Answer- data exploration;
-Resulting knowledge discovery fosters proactive, knowledge driven decision making
Exploratory Data Analysis (EDA) - Answer- 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 - Answer- - Knowledge discovery and data mining
- Knowledge discovery and data
- Knowledge discovery in databases
KDD - Answer- - 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 - Answer- Process of finding correlations or patterns among the
data
Data Mining is considered ______ data analysis because: - Answer- secondary; data
miners use databases created by others, often for purposes unrelated to research
and data mining.
KDD and Research - Answer- 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) - Answer- Data mining method for
analyzing outcomes and service use
Data Mining Concepts - Answer- - Bagging
- Boosting
- Data reduction
- Drill down
- EDA
- Feature selection
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