MHA 705 Exam 5 Questions and Answers with Verified Solutions | Latest Updated 2026

MHA 705 Exam 5 Questions and Answers
with Verified Solutions | Latest Updated 2026



Data Mining focusing on producing 1. Problem identification
a 2. Exploration of the data
solution that generates useful 3. Pattern discovery
forecasting through a four phase 4. Knowledge deployment-application to
process 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 ______ secondary; data miners use databases
data created by
analysis because: 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 Data mining method for analyzing
Trees outcomes and
(CART) service use