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JSR 73: Data Mining API

JSR 73: Data Mining API. 資工三 B90902008 林宗澤. Introduction. In JDM, data mining [Mitchell1997, BL1997] includes the functional areas of classification, regression, attribute importance1, clustering, and association.

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JSR 73: Data Mining API

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  1. JSR 73: Data Mining API 資工三 B90902008 林宗澤

  2. Introduction • In JDM, data mining [Mitchell1997, BL1997] includes the functional areas of classification, regression, attribute importance1, clustering, and association. • These are supported by such supervised and unsupervised learning algorithms as decision trees, neural networks, Naive Bayes, Support Vector Machine, K-Means, and Apriori, on structured data.

  3. JDM is based on a generalized, object-oriented, data mining conceptual model leveraging emerging data mining standards such the Object Management Group’s Common Warehouse Metadata (CWM), ISO’s SQL/MM for Data Mining, and the Data Mining Group’s Predictive Model Markup Language (PMML), as appropriate

  4. Benefits • The Java Data Mining (JDM) specification addresses the need for a pure Java API to facilitate development of data mining-enabled applications. JDM supports common data mining operations, as well as the creation, persistence, access, and maintenance of metadata supporting mining activities. • The ability to leverage data mining functionality via a standard API

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