The KS X ISO/IEC 13249-6-2008 (2023) standard, published by the Korea Agency for Technology and Standards (KR-KATS), is part of a series of standards that focus on SQL: Part 15 - SQL Multimedia and Application Packages. This specific document, released on November 10, 2008, addresses data mining within the context of these packages.
As part of the SQL suite of standards developed by ISO/IEC JTC 1 SC 32, this standard provides guidelines and definitions for implementing data mining capabilities using SQL. Data mining is a process that involves discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.
The KS X ISO/IEC 13249-6 standard aims to provide a comprehensive set of functionalities for data analysts and developers looking to integrate advanced analytical processes into their SQL-based applications. It includes provisions for defining data mining models, executing data mining operations, and interpreting results within the SQL environment.
Adhering to this standard ensures interoperability between different SQL database systems when it comes to data mining tasks. Additionally, it supports a wide range of industries seeking to leverage big data analytics for better decision-making processes, from finance and healthcare to retail and manufacturing.
*** Please note: This description may not be accurate, please refer to the official documentation.
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