NSG 3039 WEEK 5 QUIZ
1._______ ________ is an analytic, logical process with the ultimate goal of
forecasting or prediction.
Data mining <Data mining is the analytic, logical process of using software
to sort through data to discover patterns and ascertain or establish
relationships.>
Knowledge discovery <As opposed to an analytic, logical process,
knowledge discovery is used to help to improve healthcare policy making,
healthcare practices, disease prevention, detection of disease outbreaks,
prevention of sequelae, and prevention of in-hospital deaths.>
Data exploration <As opposed to an analytic, logical process, data
exploration begins with exploring and preparing the data for the data mining
process.>
Big data <As opposed to an analytic, logical process, big data are
voluminous amounts of data sets that are difficult to process using typical
data processing.>
Answer A
________ ________ is key, since data mining looks at the data from
different vantage points, aspects and perspectives and brings new insights to
the data set.
Data mining <Data mining is the analytic, logical process of using software
to sort through data to discover patterns and ascertain or establish
relationships.>
Knowledge discovery <Knowledge discovery is key, since data mining
looks at the data from different vantage points, aspects and perspectives and
brings new insights to the data set. Knowledge discovery is used to help to
improve healthcare policy making, healthcare practices, disease prevention,
detection of disease outbreaks, prevention of sequelae, and prevention of in-
hospital deaths.>
Data exploration <As opposed to a process that bring new insights, data
, exploration begins with exploring and preparing the data for the data mining
process.>
Big data <As opposed to a process that bring new insights, big data are
voluminous amounts of data sets that are difficult to process using typical
data processing.>
Answer B
Much of our ______ _______ is unstructured and resides in text files
representing more than 75% of an organization’s data. This data is not
contained in databases and can be easily overlooked. It is important since we
can identify patterns and provide meaningful insights.
data mining <As opposed to being a body of raw facts, data mining is the
analytic, logical process of using software to sort through data to discover
patterns and ascertain or establish relationships.>
knowledge discovery < As opposed to being a body of raw facts,
knowledge discovery is used to help to improve healthcare policy
making, healthcare practices, disease prevention, detection of disease
outbreaks, prevention of sequelae, and prevention of in-hospital deaths.>
data exploration <As opposed to being a body of raw facts, data
exploration begins with exploring and preparing the data for the data
mining process.>
big data < Big data are voluminous amounts of data sets that are difficult
to process using typical data processing.>
Answer D
_________ _________ is a data driven method to eliminate defects, waste,
or assess quality control issues. It is aimed at decreasing disparities in a
business and manufacturing process through dedicated improvements.
Six Sigma <Six Sigma is a data driven method to eliminate defects,
waste, or assess quality control issues.>
CRISP-DM < Rather than a data-driven model, the CRISP-DM model
follows a path or series of steps to develop a business understanding by
gaining an understanding of the business data collected and analyzed.>
SEMMA Explore <While similar to a data-driven model, SEMMA
(sample, explore, modify, model, assess) refers to the core process of
conducting data mining, concentrating more on the technical activities
characteristically involved in data mining.>
Data Exploration <Rather than being a method of removing defects, data
1._______ ________ is an analytic, logical process with the ultimate goal of
forecasting or prediction.
Data mining <Data mining is the analytic, logical process of using software
to sort through data to discover patterns and ascertain or establish
relationships.>
Knowledge discovery <As opposed to an analytic, logical process,
knowledge discovery is used to help to improve healthcare policy making,
healthcare practices, disease prevention, detection of disease outbreaks,
prevention of sequelae, and prevention of in-hospital deaths.>
Data exploration <As opposed to an analytic, logical process, data
exploration begins with exploring and preparing the data for the data mining
process.>
Big data <As opposed to an analytic, logical process, big data are
voluminous amounts of data sets that are difficult to process using typical
data processing.>
Answer A
________ ________ is key, since data mining looks at the data from
different vantage points, aspects and perspectives and brings new insights to
the data set.
Data mining <Data mining is the analytic, logical process of using software
to sort through data to discover patterns and ascertain or establish
relationships.>
Knowledge discovery <Knowledge discovery is key, since data mining
looks at the data from different vantage points, aspects and perspectives and
brings new insights to the data set. Knowledge discovery is used to help to
improve healthcare policy making, healthcare practices, disease prevention,
detection of disease outbreaks, prevention of sequelae, and prevention of in-
hospital deaths.>
Data exploration <As opposed to a process that bring new insights, data
, exploration begins with exploring and preparing the data for the data mining
process.>
Big data <As opposed to a process that bring new insights, big data are
voluminous amounts of data sets that are difficult to process using typical
data processing.>
Answer B
Much of our ______ _______ is unstructured and resides in text files
representing more than 75% of an organization’s data. This data is not
contained in databases and can be easily overlooked. It is important since we
can identify patterns and provide meaningful insights.
data mining <As opposed to being a body of raw facts, data mining is the
analytic, logical process of using software to sort through data to discover
patterns and ascertain or establish relationships.>
knowledge discovery < As opposed to being a body of raw facts,
knowledge discovery is used to help to improve healthcare policy
making, healthcare practices, disease prevention, detection of disease
outbreaks, prevention of sequelae, and prevention of in-hospital deaths.>
data exploration <As opposed to being a body of raw facts, data
exploration begins with exploring and preparing the data for the data
mining process.>
big data < Big data are voluminous amounts of data sets that are difficult
to process using typical data processing.>
Answer D
_________ _________ is a data driven method to eliminate defects, waste,
or assess quality control issues. It is aimed at decreasing disparities in a
business and manufacturing process through dedicated improvements.
Six Sigma <Six Sigma is a data driven method to eliminate defects,
waste, or assess quality control issues.>
CRISP-DM < Rather than a data-driven model, the CRISP-DM model
follows a path or series of steps to develop a business understanding by
gaining an understanding of the business data collected and analyzed.>
SEMMA Explore <While similar to a data-driven model, SEMMA
(sample, explore, modify, model, assess) refers to the core process of
conducting data mining, concentrating more on the technical activities
characteristically involved in data mining.>
Data Exploration <Rather than being a method of removing defects, data
