Automated data mining runs
First Claim
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1. A method for conducting a data mining process, the method comprising:
- triggering the data mining process wherein;
the data mining process includes an analytical process, the triggering is based on the presence of data in a data source that is used for analytical processing, and the analytical process uses a procedure that also is usable in a data extraction process;
creating a data attribute by performing the analytical process on data from the data source after the analytical process has been triggered; and
storing the created data attribute in the data source.
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Abstract
A data mining run that includes special analyses is triggered directly after having loaded new data in a data warehouse environment, to enrich the newly loaded data by new attributes. The process automates replicating transaction data from a source system into a data warehouse, triggering a data mining procedure (such as a training or a prediction procedure) that enriches the data with new attributes, and triggering the upload of the enriched data back into the data warehouse.
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Citations
34 Claims
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1. A method for conducting a data mining process, the method comprising:
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triggering the data mining process wherein;
the data mining process includes an analytical process, the triggering is based on the presence of data in a data source that is used for analytical processing, and the analytical process uses a procedure that also is usable in a data extraction process;
creating a data attribute by performing the analytical process on data from the data source after the analytical process has been triggered; and
storing the created data attribute in the data source. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A method for conducting a data mining process, the method comprising:
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triggering the data mining process wherein;
the data mining process includes an analytical process, the triggering is based on the presence of data in a data source that is used for analytical processing, and the analytical process uses a procedure that also is usable in a data extraction process;
extracting data from the data source that is used for analytical processing;
loading the data extracted from the data source that is used for analytical processing to temporary data storage, creating a data attribute by performing the analytical process on data in the temporary data storage; and
storing the created data attribute in the data source that is used for analytical processing. - View Dependent Claims (19, 20, 21)
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22. A computer-readable medium or propagated signal having embodied thereon a computer program configured to conduct a data mining process, the medium or signal comprising one or more code segments configured to:
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trigger the data mining process wherein;
the data mining process includes an analytical process, the triggering is based on the presence of data in a data source that is used for analytical processing, and the analytical process uses a procedure that also is usable in a data extraction process;
create a data attribute by performing the analytical process on data from the data source after the analytical process has been triggered; and
store the created data attribute in the data source. - View Dependent Claims (23, 24, 25, 26, 27)
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28. A system for conducting a data mining process, the system comprising a processor connected to a storage device and one or more input/output devices, wherein the processor is configured to:
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trigger the data mining process wherein;
the data mining process includes an analytical process, the triggering is based on the presence of data in a data source that is used for analytical processing, and the analytical process uses a procedure that also is usable in a data extraction process;
create a data attribute by performing the analytical process on data from the data source after the analytical process has been triggered; and
store the created data attribute in the data source. - View Dependent Claims (29, 30, 31, 32, 33)
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34. A method for defining an automated data mining process, the method comprising:
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presenting a user interface for;
identifying a template for a type of automated data mining process for triggering an analytical process, the analytical process using a procedure that also is usable in a data extraction process, based on the presence of data in a data source that is used for analytical processing, creating a data attribute by performing the analytical process on data from the data source after the analytical process has been triggered, and storing the created data attribute in the data source; and
entering information for defining the automated data mining process;
associating the entered information with the identified template; and
storing the associated entered information with the identified template as a computer program configured to perform the automated data mining process.
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Specification