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Message type: E = Error
Message class: RSDME -
Message number: 413
Message text: Minimum support not specified, too many rules may be generated
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RSDME413
- Minimum support not specified, too many rules may be generated ?The SAP error message RSDME413, which states "Minimum support not specified, too many rules may be generated," typically occurs in the context of data mining or predictive analysis within SAP BW (Business Warehouse) or SAP HANA environments. This error is related to the configuration of data mining algorithms, particularly when setting up rules for data mining models.
Cause:
The error arises when the minimum support threshold for generating rules is not defined. In data mining, "support" refers to the frequency or occurrence of an itemset in the dataset. If this threshold is not set, the algorithm may attempt to generate an excessive number of rules, which can lead to performance issues and inefficiencies.
Solution:
To resolve this error, you need to specify a minimum support value in your data mining model configuration. Here are the steps to do this:
Access the Data Mining Workbench: Open the Data Mining Workbench in your SAP BW or HANA environment.
Edit the Data Mining Model: Locate the specific data mining model that is generating the error and open it for editing.
Set Minimum Support:
- Look for the parameters related to rule generation or itemset mining.
- Find the field for "Minimum Support" and specify a value. This value should be a percentage or a count that reflects the minimum frequency of occurrence for the rules to be considered valid.
- A common practice is to start with a low value (e.g., 0.1 or 10%) and adjust based on the results and performance.
Save and Re-run the Model: After setting the minimum support, save your changes and re-run the data mining model to see if the error is resolved.
Related Information:
Understanding Support: In data mining, support is a crucial metric that helps in filtering out less significant rules. A higher minimum support value will result in fewer rules being generated, which can improve performance but may also lead to missing potentially valuable insights.
Performance Considerations: Setting the minimum support too low can lead to performance degradation due to the generation of a large number of rules. It's essential to find a balance that allows for meaningful insights without overwhelming the system.
Documentation and Help: Refer to SAP's official documentation on data mining and predictive analytics for more detailed guidance on configuring models and understanding the implications of various parameters.
By following these steps and understanding the underlying concepts, you should be able to resolve the RSDME413 error and improve the performance of your data mining models in SAP.
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