Data mining is the process of analyzing vast amounts of data to find patterns, trends, or useful insights, which is essential in turning raw data into meaningful information. In the context of data mining, a key framework often referenced is the DIKW pyramid: Data, Information, Knowledge, and Wisdom. Data This is raw, unprocessed, and unstructured material. Data includes facts, figures, and observations that don’t yet have context or meaning on their own. In data mining, this could be things like transaction records, customer interactions, or sensor outputs, gathered from various sources. Information When data is processed or organized to add context, it becomes information. For instance, if you organize customer transaction data by time or product category, it provides a clearer picture of what is happening. Information provides answers to basic questions like who, what, when, and where. Knowledge Knowledge comes from analyzing information to understand the how and why . It’s a...