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Java Data Mining (JSR-73) Final Release Published
November
2, 2004
Mark Rittman

Java Data Mining (JSR-73) Final Release Published : "The Java Data Mining (JDM) specification is a standard Java API and Web services definitions for data mining. The Java Community Process (JCP) Executive Committee approved JDM on June 28, 2004, with the final specification posted August 18, 2004. See http://www.jcp.org/jsr/detail/73.jsp to access the specification and related documents.

Historically, application developers coded homegrown data mining algorithms into applications or used sophisticated end-user GUIs, which packaged a suite of algorithms, complete with support for data transformation, model building, testing and scoring. However, the ability to embed data mining end to end in applications using commercial data mining products was difficult. Vendors that provided an API did so with a proprietary solution, making the selection of a particular vendor's product risky and potentially costly should a different vendor's solution be required. The ability to leverage data mining functionality via a standard API greatly reduces risk and potential cost. A standard API allows companies to draw on the strengths of multiple data mining vendors for solving business problems by applying the most appropriate algorithm implementation to a given problem without having to invest resources in learning each vendor's proprietary API. A standard API increases accessibility of data mining to application developers, making developer skills more transferable across vendor products.

JDM addresses this need for the Java community. By designing JDM with an extensible framework for the addition of new algorithms and functionality, vendors can differentiate themselves while providing developers with a familiar programming model. JDM specifies mining functions supporting classification, regression, clustering, association and attribute importance and mining algorithms supporting decision trees, neural networks, na´ve bayes, support vector machines and k-means. Data mining operations including build, test, apply, import and export are performed synchronously or asynchronously using mining tasks. JDM also provides interfaces for meta data query, management and persistence." More...

What makes this interesting is that the author, Mark F. Hornick - who is the JSR specification lead - works for Oracle, which means we'll in all likelihood be using this with future versions of Oracle Data Mining. Also, from looking at the JSR specification, "A sister JSR, JSR-000069 [a.k.a. 'JOLAP' - MR] supporting an API for OLAP, will share a common basis in the OMG CWM meta-model, noted below. As such there will be some overlap in concepts to be resolved. We plan to work with the JSR-000069 to minimize overlap and leverage common infrastructure. "

 


 

   
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