What is the process of "data mining" about?

The process of "data mining" is primarily focused on discovering patterns and knowledge from large amounts of data. It involves exploring and analyzing datasets to uncover meaningful information, which can then be used for various purposes, such as making predictions, identifying trends, or informing decision-making processes. Data mining employs a range of techniques from machine learning, statistics, and database systems to extract useful insights that may not be immediately apparent.

This approach is critical in fields such as marketing, finance, healthcare, and more, where understanding underlying patterns in data can significantly enhance strategic planning and operational efficiency. The process can include various methodologies like clustering, classification, regression, and association rule learning, all aimed at transforming raw data into actionable intelligence.