A goal of data minig includes which of the following?
A goal of data minig includes which of the following?
The correct option is B To explain some observed event or condition
A goal of data minig
includes To explain some observed event or condition.
The term "data
mining" is in fact a misnomer, because the goal is the extraction of
patterns and knowledge from large amounts of data, not the extraction (mining)
of data itself.
Data mining is a process
used by companies to turn raw data into useful information. By using software
to look for patterns in large batches of data, businesses can learn more about
their customers and develop more effective marketing strategies as well as
increase sales and decrease costs.
data mining is used to
discover patterns and relationships in the data in order to help make better
business decisions. Data mining can help spot sales trends, develop smarter
marketing campaigns, and accurately predict customer loyalty.
This means that
transactions are processed in the system and the data of the transaction is
stored in the system's database. Data mining software analyses relationships
and patterns in this stored transaction data. Several types of analytical
software are available: statistical, machine learning, and neural networks.
A goal of data minig includes To explain some observed event or condition.
The term "data mining" is in fact a misnomer, because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (mining) of data itself.
Data mining is a process used by companies to turn raw data into useful information. By using software to look for patterns in large batches of data, businesses can learn more about their customers and develop more effective marketing strategies as well as increase sales and decrease costs.
data mining is used to discover patterns and relationships in the data in order to help make better business decisions. Data mining can help spot sales trends, develop smarter marketing campaigns, and accurately predict customer loyalty.
This means that transactions are processed in the system and the data of the transaction is stored in the system's database. Data mining software analyses relationships and patterns in this stored transaction data. Several types of analytical software are available: statistical, machine learning, and neural networks.
