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Oracle Data Mining Java API Reference
11g Release 2 (11.2)

E12219-03


oracle.dmt.jdm
Class OraMiningAlgorithm

java.lang.Object
  extended byoracle.dmt.jdm.OraMiningAlgorithm


public class OraMiningAlgorithm
extends java.lang.Object

javax.datamining.MiningAlgorithm enumeration lists the JDM standard algorithms as enumerated values. This class declares Oracle data mining algorithm extensions as MiningAlgorithm enumerated values and adds them to the MiningAlgorithm as extension enumerated values.


Field Summary
static javax.datamining.MiningAlgorithm adaptiveBayesNetwork
          Represents Adaptive Bayes Network algorithm, it is used for classification
static javax.datamining.MiningAlgorithm aprioriAssociationRules
          Represents Apriori algorithm, it is used for association.
static javax.datamining.MiningAlgorithm generalizedLinearModel
          Represents Generalized Linear Model (GLM) algorithm, it is used for both classification and regression functions.
static javax.datamining.MiningAlgorithm minimumDescriptionLength
          Represents Minimum Description Length (MDL) algorithm, it is used for attribute importance.
static javax.datamining.MiningAlgorithm nonNegativeMatrixFactorization
          Represents Non-Negative Matrix Factorization (NMF) algorithm, it is used for feature extraction
static javax.datamining.MiningAlgorithm oCluster
          Represents Orthogonal Partitioning Clustering (O-Clustering) algorithm, it is used for clustering.

 

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

 

Field Detail

adaptiveBayesNetwork

public static final javax.datamining.MiningAlgorithm adaptiveBayesNetwork
Represents Adaptive Bayes Network algorithm, it is used for classification
See Also:
OraABNSettings

nonNegativeMatrixFactorization

public static final javax.datamining.MiningAlgorithm nonNegativeMatrixFactorization
Represents Non-Negative Matrix Factorization (NMF) algorithm, it is used for feature extraction
See Also:
OraNMFAlgorithmSettings

aprioriAssociationRules

public static final javax.datamining.MiningAlgorithm aprioriAssociationRules
Represents Apriori algorithm, it is used for association.

minimumDescriptionLength

public static final javax.datamining.MiningAlgorithm minimumDescriptionLength
Represents Minimum Description Length (MDL) algorithm, it is used for attribute importance.

oCluster

public static final javax.datamining.MiningAlgorithm oCluster
Represents Orthogonal Partitioning Clustering (O-Clustering) algorithm, it is used for clustering.
See Also:
OraOClusterSettings

generalizedLinearModel

public static final javax.datamining.MiningAlgorithm generalizedLinearModel
Represents Generalized Linear Model (GLM) algorithm, it is used for both classification and regression functions.
Since:
Oracle 11.1.0.0
See Also:
OraGLMSettings

Skip navigation links

Oracle Data Mining Java API Reference
11g Release 2 (11.2)

E12219-03


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