Abstract
This chapter reveals that Java Data Mining (JDM) provides a comprehensive application programming interface (API) to build data mining solutions and tools. JDM provides an API to build, apply, test, and describe models. Vendors can easily extend the standard API to add more implementation-specific non-JDM standard functions, algorithms, and settings. The connection interface provides methods for interacting with the DME, such as saving and exploring mining objects, and executing mining tasks. Data specification interfaces provide various types of data description capabilities and function and algorithm level settings specifications. JDM supports specifying minimal settings for mining operations via simple object representations and DME defaults. JDM also supports highly customized settings with options for detailed DME control. For descriptive models, JDM provides the function and algorithm-specific model details that applications can retrieve and present to the user. For supervised and clustering models, the apply task can produce apply outputs for multi-record or single-record data, supporting batch, and real-time applications, respectively. Test metrics can be computed to evaluate the quality of supervised models.
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