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What is data mining in business intelligence?

Data mining is defined as the process of analyzing data from different sources and summarizing it into relevant information that can be used to help increase revenue and decrease costs. The primary purpose of data mining in business intelligence is to find correlations or patterns among dozens of fields in large databases.

What is an example of data mining?

Example of Data Mining. Grocery stores are well-known users of data mining techniques. Many supermarkets offer free loyalty cards to customers that give them access to reduced prices not available to non-members. The cards make it easy for stores to track who is buying what, when they are buying it and at what price.

What is the history of data mining?

Through the Turing Universal Machine (1936), the discovery of Neural Networks (1943), the development of databases (1970s) and genetic algorithms (1975), and Knowledge Discovery in Databases (1989), the stage was set for our modern understanding of what data mining is today.

Is data mining a good skill to learn?

Data mining is a tool that data scientists use to solve problems in a business environment, and it has become one of the most valuable skills that data scientists can learn. Where can I sign up to learn more about data mining?

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