MHA 705 Exam 5 | Questions and Answers |
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Practice questions for this set
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a type of research design where a comparison is made, as in an experiment,
but no random assignment of participants to groups occurs
Choose an answer
Data Mining focusing on producing a
solution that generates useful
1 2 quasi-experiment
forecasting through a four phase
process
3 CRISP-DM 4 KDD
Don't know?
Terms in this set (31)
, Data Mining focusing on producing a 1. Problem identification
solution that generates useful 2. Exploration of the data
forecasting through a four phase 3. Pattern discovery
process 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
- 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 secondary; data miners use databases created by
analysis because: others, often for purposes unrelated to research
and data mining.
Verified Solutions | 2026 Edition | Pass
Guaranteed
Save
Practice questions for this set
Learn 1 /7 Study using Learn
a type of research design where a comparison is made, as in an experiment,
but no random assignment of participants to groups occurs
Choose an answer
Data Mining focusing on producing a
solution that generates useful
1 2 quasi-experiment
forecasting through a four phase
process
3 CRISP-DM 4 KDD
Don't know?
Terms in this set (31)
, Data Mining focusing on producing a 1. Problem identification
solution that generates useful 2. Exploration of the data
forecasting through a four phase 3. Pattern discovery
process 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
- 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 secondary; data miners use databases created by
analysis because: others, often for purposes unrelated to research
and data mining.
