MHA 705 Exam 5 ACTUAL UPDATED QUESTIONS AND CORRECT ANSWERS
, Common big data collection capabilities - Data Capture
- Data Transmission
- Storage Capabilities
- Powerful Computers
- Statistics
- Artificial Intelligence
- High-functioning real database engines with data integration
-Advanced Algorithms
Data mining includes tools for? Visualizing relationships in the data and mechanizes the process of discovering
predictive information in massive databases
What is the purpose of data mining tools? To scan databases and identify previously hidden patterns
What is Big Data to Knowledge (BD2K)? Initiative that was launched in 2013 by the National Institutes of Health (NIH) to
support the research and development of innovative and transformative
approaches and tools to maximize and hasten the integration of big data and data
science into biomedical research.
The purpose of Big Data to Knowledge (BD2K)? to support initial efforts toward making data sets Findable, Accessible,
Interoperable, and Reusable (FAIR)
Unstructured Data Resides in text files, which represent more than 75% of an organization's data.
How does Guru99 describe Big Data? As a collection of data that is huge in size and yet growing exponentially with
time.
Data is so large and complex that none of the traditional data management tools
are able to store it or process it efficiently.
How is big data generated? Daily from the stock exchange, social medial posts, graphics, videos,
photographs, digital x-rays, cell phones, and jet engines.
What is Data Mining? The process of using software to sort through data to discover patterns and
ascertain or establish relationships.
Helps discover or uncover previously unidentified relationships among the data in
the database with a focu on applications
What is the information from data mining used for? To increase profits or decrease costs or both.
4 phase process of data mining 1. Problem identification
2. Data Exploration
3. Pattern Discovery
4. Knowledge deployment or application of knowledge to new data to forecast
or generate predictions
Ultimate goal of data mining? forecasting or predicting through analytics and logics
Problem Identification Initial Phase of data mining, the problem must be defined and everyone involved
must understand the objectives and requirements of the data mining process they
are initiating.
, Common big data collection capabilities - Data Capture
- Data Transmission
- Storage Capabilities
- Powerful Computers
- Statistics
- Artificial Intelligence
- High-functioning real database engines with data integration
-Advanced Algorithms
Data mining includes tools for? Visualizing relationships in the data and mechanizes the process of discovering
predictive information in massive databases
What is the purpose of data mining tools? To scan databases and identify previously hidden patterns
What is Big Data to Knowledge (BD2K)? Initiative that was launched in 2013 by the National Institutes of Health (NIH) to
support the research and development of innovative and transformative
approaches and tools to maximize and hasten the integration of big data and data
science into biomedical research.
The purpose of Big Data to Knowledge (BD2K)? to support initial efforts toward making data sets Findable, Accessible,
Interoperable, and Reusable (FAIR)
Unstructured Data Resides in text files, which represent more than 75% of an organization's data.
How does Guru99 describe Big Data? As a collection of data that is huge in size and yet growing exponentially with
time.
Data is so large and complex that none of the traditional data management tools
are able to store it or process it efficiently.
How is big data generated? Daily from the stock exchange, social medial posts, graphics, videos,
photographs, digital x-rays, cell phones, and jet engines.
What is Data Mining? The process of using software to sort through data to discover patterns and
ascertain or establish relationships.
Helps discover or uncover previously unidentified relationships among the data in
the database with a focu on applications
What is the information from data mining used for? To increase profits or decrease costs or both.
4 phase process of data mining 1. Problem identification
2. Data Exploration
3. Pattern Discovery
4. Knowledge deployment or application of knowledge to new data to forecast
or generate predictions
Ultimate goal of data mining? forecasting or predicting through analytics and logics
Problem Identification Initial Phase of data mining, the problem must be defined and everyone involved
must understand the objectives and requirements of the data mining process they
are initiating.
