40 likes | 341 Views
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.
E N D
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. • 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.
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
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