Data mining is the process of discovering patterns, trends, and useful information from large sets of data. It’s like a “data treasure hunt” where algorithms and statistical techniques are used to identify hidden relationships in the data.
For example, companies use data mining to analyze customer behavior, predict future trends, or detect fraud. It involves collecting data, cleaning it, and then running specific algorithms to find meaningful insights that can help make decisions or solve problems.
In simple terms, data mining takes raw data, processes it, and uncovers valuable insights that were previously unknown or difficult to see.
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