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SQL/MM Part 6: Data Mining

Learn about data mining techniques such as association rules, clustering, classification, and regression, and how they can be applied using SQL. Discover the objectives, scope, and future developments of data mining in SQL.

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SQL/MM Part 6: Data Mining

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  1. SQL/MM Part 6: Data Mining Friedemann Schwenkreis ISO/IEC 13249-6

  2. What is data mining • Find interesting patterns in the data • Association rules • Clustering/Segmentation • Classification • Regression • … ISO/IEC 13249-6

  3. Objectives • Bring data and data mining together • Provide SQL interface to: • Compute data mining models • Test data mining models • Apply data mining models • Allow data mining as part of SQL queries ISO/IEC 13249-6

  4. Out of Scope • Format of data mining models. • Format of data mining metadata. • Specific algorithms to implement a data mining technique. ISO/IEC 13249-6

  5. Future • More mining techniques. • More detailed functionality. • Integration with statistics. • Visualization support? • Alignment with new parts of 9075 (e.g. SQL//XML). ISO/IEC 13249-6

  6. Contact Friedemann SchwenkreisEditor of SQL/MM Part 6: Data Miningfschwenk@de.ibm.com ISO/IEC 13249-6

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