Data mining define

  • Data mining techniques

    There are other kinds of data like semi-structured or unstructured data which includes spatial data, multimedia data, text data, web data which require different methodologies for data mining.
    Data mining is the process of extracting valuable information and insights from large datasets..

  • Which is the best definition of data mining?

    Data mining is most commonly defined as the process of using computers and automation to search large sets of data for patterns and trends, turning those findings into business insights and predictions..

  • Why is it called data mining?

    This branch of data science derives its name from the similarities between the process of searching through large datasets for valuable information and the process of mining the earth for precious metals, stones, and ore..

  • Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis.
    Data mining techniques and tools enable enterprises to predict future trends and make more-informed business decisions.

Why is data mining a misnomer?

The term “data mining” is actually a misnomer because the goal is not to extract the data itself, but rather meaningful information from the data

What is data mining? What are different data mining techniques? How does data mining work? What is data mining?


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