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By IBM Redbooks

ISBN-10: 0738427799

ISBN-13: 9780738427799

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Extra info for Enhance Your Business Applications: Simple Integration of Advanced Data Mining Functions

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IM Modeling provides a set of functions as an add-on service to DB2 UDB. This consists of a set of user-defined tables (UDTs), UDFs, methods, and stored procedures. They extend the capabilities of DB2 UDB to include data mining modeling functions. You can easily use these functions from SQL statements. 0 standard It requires both IT skills and basic data mining understanding. Chapter 2. 1 Interoperability The models may have been developed by other applications and tools that support interoperability via PMML models.

Figure 2-7 also shows the data mining expert producing a model in DB2 Intelligent Miner for Data and exporting the model in the PMML format (an XML-based language). The scoring application uses the SQL interface of IM Scoring to the PMML mining model to data. Then a DB2 UDF is called to store the scored data back to the operational database. M ining Scenario: Scoring m odels m odels cou ld b e su pplied by a con sultant, solution provid er, or central su ppo rt g ro up within an enterprise m odels can be exch ang ed betw een data m ining too ls from co m pliant vendo rs added value: consultant m ig ht m erg e purchased data, such as d em o graph ic or ind ustry-specific d ata, with d ata m ined Data A n a l y st Intelligent M iner for Data scoring application Transfo rmed Da ta Extracte d I nform ation D ata W areh o use S elect A ssimilated Info rmat ion SQ L S electe d D ata Transform Mine A ssim ilate m odel XM L form at DB2 UDF sco red data Historical D ata classification m odel Figure 2-7 Interoperability of DB2 Intelligent Miner for Data with IM Scoring In summary, sourcing the data mining model can be done in several ways.

Technology is also needed to provide ease of use and ease of interaction close to the heart of the where the data resides. To gain scoring results in an efficient manner and to have effective scoring models to achieve these results, business applications require interaction and more integration between different modeling and scoring techniques. One technique is no longer sufficient to model a customer’s behavior. Consider an example where you need to profile the customer and predict the likelihood that they are going to accept the targeted marketing campaign.

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Enhance Your Business Applications: Simple Integration of Advanced Data Mining Functions by IBM Redbooks


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