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...
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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