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Oracle Data Mining Java API Reference

This document is the API specification for the Oracle Extensions to the Java Data Mining (JDM) standard API, JDM standard API specification can be either downloaded from http://www.jcp.org or viewed from http://www.oracle.com/technology/products/bi/odm/JSR-73/index.html
Oracle Extensions include: Non-JDM standard mining function called feature extraction, oracle proprietary algorithms such as Generalized linear models (GLM), Adaptive Bayes Networks (ABN), Orthogonal Clustering (OCluster) , and non-JDM standard feature extraction algorithm Non-Negative MatrixFactorization (NMF).

See:
Description

Packages

oracle.dmt.jdm	This package contains oracle specific function and algorithm extensions enumerations and execution handle extension method.
oracle.dmt.jdm.algorithm.abn	This package contains definitions for describing the oracle specific Adaptive Bayes Network (ABN) algorithm settings to build a classification model.
oracle.dmt.jdm.algorithm.glm	This package contains definitions for describing the oracle JDM extension Generalized Linear Models (GLM) algorithm settings to build a regression and classification model.
oracle.dmt.jdm.algorithm.kmeans	This package contains oracle extensions like split criterion and additional clustering distance functions for k-means algorithm settings to build a clustering model.
oracle.dmt.jdm.algorithm.nmf	This package contains definitions for describing the oracle specific Non-negative Matrix Factorization algorithm settings to build a feature extraction model.
oracle.dmt.jdm.algorithm.ocluster	This package contains definitions for describing the oracle specific Orthogonal Partitioning Clustering (O-Cluster) algorithm settings specific to build a clustering model.
oracle.dmt.jdm.algorithm.svm.classification	This package contains extensions for describing the oracle specific Support Vector Machine algorithm settings extensions to build a classification model.
oracle.dmt.jdm.algorithm.svm.regression	This package contains extensions for describing the oracle specific Support Vector Machine algorithm settings extensions to build a regression model.
oracle.dmt.jdm.algorithm.tree	This package contains extensions for describing the oracle specific decision tree algorithm settings extensions to build a classification model.This package contains definitions for describing the algorithm settings specific to building a model.
oracle.dmt.jdm.association	This package contains oracle specific extensions like rule id and itemset id retrieval for the applications.
oracle.dmt.jdm.base	This package contains OraModel extension method to set the oracle specific transformation details.
oracle.dmt.jdm.data	This package contains oracle specific extension classes OraPairProbability and OraAttributeCoefficient.
oracle.dmt.jdm.featureextraction	This package contains Java classes describing the settings and model for the feature extraction mining function Feature Extraction analysis has been used in text analysis and the extraction of text features of the text.consumer behavior for the discovery of relationships of co-occurrences among a set of items, e.g., the presence of one pattern implies the presence of another pattern.
oracle.dmt.jdm.modeldetail.abn	This package contains Java classes describing the model details of a Adaptive Bayes Network model.
oracle.dmt.jdm.modeldetail.glm	This package contains Java classes describing the model details of a Adaptive Bayes Network model.
oracle.dmt.jdm.resource	This package contains OraConnectionFactory calss that can create a DME Connection to Oracle Database.
oracle.dmt.jdm.supervised	This package contains OraTestTask extension class to javax.datamining.supervised.TestTask.
oracle.dmt.jdm.supervised.classification
oracle.dmt.jdm.supervised.regression	This package contains oracle exectensions for regression apply settings and test metrics to specify the target normalization details to allow the denormalization of predictions and test metrics values.
oracle.dmt.jdm.task	This package contains oracle specific extension tasks i.e., OraPredictTask, OraExplainTask, OraTransformationTask
oracle.dmt.jdm.task.apply	This package contains OraDataSetApplyTask extension class to javax.datamining.task.apply.DataSetApplyTask.
oracle.dmt.jdm.transform	This package contains base class OraTransform for all transformations supported by Oracle.
oracle.dmt.jdm.transform.binning	This package contains binning transformation related classes.
oracle.dmt.jdm.transform.clipping	This package contains clipping transformation related classes.
oracle.dmt.jdm.transform.normalize	This package contains normalize transformation related classes.
oracle.dmt.jdm.transform.text	This package contains text transformation related classes.

This document is the API specification for the Oracle Extensions to the Java Data Mining (JDM) standard API, JDM standard API specification can be either downloaded from http://www.jcp.org or viewed from http://www.oracle.com/technology/products/bi/odm/JSR-73/index.html

Oracle Extensions include:

• Non-JDM standard mining function called feature extraction, oracle proprietary algorithms such as Generalized linear models (GLM), Adaptive Bayes Networks (ABN), Orthogonal Clustering (OCluster) , and non-JDM standard feature extraction algorithm Non-Negative MatrixFactorization (NMF).
• Extensions for JDM function and algorithm settings classes to support Oracle specific algorithm settings. For example, Support Vector Machine (SVM) algorithm has oracle specific settings called outlier rate, and active learning, corresponding extension methods are defined in oracle.dmt.jdm.algorithm.classification.OraSVMClassificationSettings class to supplement JDM standard SVM settings.
• Extensions to support data mining transformations, such as binning, normalization, clipping, text transformations.

See Also:

JDM Standard Specification, JDM Standard API Specification

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