How does the framework define data mining?

1. The framework gives data mining a deliberately narrow definition: "Data mining is the application of specific algorithms for extracting patterns from data." 2. Narrow is the point. Data mining is one step, not a whole process, and the framework says so directly when it contrasts the two terms. 3. The broader term is knowledge discovery in data: "the overall process of discovering useful knowledge from data". The framework notes "this process involved the entire data analytics life cycle ... whereas the specific analytical step was known as data mining." 4. Systematic processing to uncover patterns, relationships and historical trends is the framework's definition of analytics, a third term again. 5. Selecting a subset from a larger population is data sampling, which the framework describes as "a central concept of statistical analysis". _Source: NIST SP 1500-1r2 "NIST Big Data Interoperability Framework: Volume 1, Definitions" (Oct 2019), p.27 section 5.1.1 "Data Mining"_