A B C D E F G I J K L M N O P R S T V X

A

AbstractDataMiningAlgorithm - Class in net.sf.jdmf.algorithms

Base abstract class for data mining algorithms.

AbstractDataMiningAlgorithm() - Constructor for class net.sf.jdmf.algorithms.AbstractDataMiningAlgorithm

AbstractRuleElementEvaluable - Class in net.sf.jdmf.data.output

An abstract class that defines how to evaluate an expression consisting of rule elements against an instance.

AbstractRuleElementEvaluable() - Constructor for class net.sf.jdmf.data.output.AbstractRuleElementEvaluable

addAttribute(Attribute) - Method in class net.sf.jdmf.data.input.InputData

addAttributeNameToOrder(String) - Method in class net.sf.jdmf.data.output.clustering.ClusteringDataMiningModel

addAttributeValue(String, Comparable) - Method in class net.sf.jdmf.data.input.attribute.Instance

addCluster(Cluster) - Method in class net.sf.jdmf.data.output.clustering.ClusteringDataMiningModel

addCondition(RuleElement) - Method in class net.sf.jdmf.data.output.Rule

addConsequence(RuleElement) - Method in class net.sf.jdmf.data.output.Rule

addPoint(Vector<Double>) - Method in class net.sf.jdmf.data.output.clustering.Cluster

addRule(Rule) - Method in class net.sf.jdmf.data.output.DataMiningModel

addSubElement(RuleElement) - Method in class net.sf.jdmf.data.output.RuleElement

addValue(Comparable) - Method in class net.sf.jdmf.data.input.attribute.Attribute

analyze(InputData) - Method in class net.sf.jdmf.algorithms.association.AprioriAlgorithm

analyze(InputData) - Method in class net.sf.jdmf.algorithms.classification.BayesAlgorithm

analyze(InputData) - Method in class net.sf.jdmf.algorithms.classification.OneRuleAlgorithm

analyze(InputData) - Method in class net.sf.jdmf.algorithms.classification.PRISMAlgorithm

analyze(InputData) - Method in class net.sf.jdmf.algorithms.clustering.KMeansAlgorithm

analyze(InputData) - Method in interface net.sf.jdmf.algorithms.DataMiningAlgorithm

Analyzes input data (attributes and decisions) and produces output data (rules, decision trees, clusters, ...).

and(Rule) - Method in class net.sf.jdmf.data.output.RuleElement

Appends a new rule element using the AND operator.

AprioriAlgorithm - Class in net.sf.jdmf.algorithms.association

Implements the Apriori association algorithm as described in Data Mining: Practical Machine Learning Tools and Techniques (Second Edition) by Ian H.

AprioriAlgorithm() - Constructor for class net.sf.jdmf.algorithms.association.AprioriAlgorithm

Attribute - Class in net.sf.jdmf.data.input.attribute

Defines an attribute (a set of values with a common name - similar to a column in a table).

Attribute() - Constructor for class net.sf.jdmf.data.input.attribute.Attribute

Attribute(String) - Constructor for class net.sf.jdmf.data.input.attribute.Attribute

Attribute(String, List<Comparable>) - Constructor for class net.sf.jdmf.data.input.attribute.Attribute

Sets the name, values and the appropriate type.

attribute(String) - Method in class net.sf.jdmf.data.output.RuleElement

Defines the attribute name of an item.

ATTRIBUTE_NAME - Static variable in class net.sf.jdmf.data.output.clustering.Cluster

AttributeConverter - Class in net.sf.jdmf.data.input.attribute

Performs various conversions involving attributes.

AttributeConverter() - Constructor for class net.sf.jdmf.data.input.attribute.AttributeConverter

AttributeNameComparator - Class in net.sf.jdmf.data.input.comparators

Compares attributes using only their names.

AttributeNameComparator() - Constructor for class net.sf.jdmf.data.input.comparators.AttributeNameComparator

AttributeType - Enum in net.sf.jdmf.data.input.attribute

Represents the type of the attribute (numeric, nominal or empty).

AttributeTypeFactory - Class in net.sf.jdmf.data.input.attribute

Determines the attribute type based on the class of its values.

AttributeTypeFactory() - Constructor for class net.sf.jdmf.data.input.attribute.AttributeTypeFactory

AttributeValueIncidence - Class in net.sf.jdmf.data.input.attribute.incidence

Represents the incidence of an attribute value (the number of times this value has occurred).

AttributeValueIncidence(Comparable) - Constructor for class net.sf.jdmf.data.input.attribute.incidence.AttributeValueIncidence

AttributeValueIncidenceComparator - Class in net.sf.jdmf.data.input.attribute.incidence

Compares two incidence values ignoring the attribute values used.

AttributeValueIncidenceComparator() - Constructor for class net.sf.jdmf.data.input.attribute.incidence.AttributeValueIncidenceComparator

AttributeValuePair - Class in net.sf.jdmf.data.input.attribute

Represents a pair of two attribute values.

AttributeValuePair() - Constructor for class net.sf.jdmf.data.input.attribute.AttributeValuePair

AttributeValuePair(Comparable, Comparable) - Constructor for class net.sf.jdmf.data.input.attribute.AttributeValuePair

AttributeValuePartitioner - Class in net.sf.jdmf.algorithms.classification.util

Partitions attributes with numeric values.

AttributeValuePartitioner() - Constructor for class net.sf.jdmf.algorithms.classification.util.AttributeValuePartitioner

AttributeValueProbability - Class in net.sf.jdmf.data.input.attribute.probability

Associates an attribute value with the probability that an instance will be classified as this attribute value.

AttributeValueProbability() - Constructor for class net.sf.jdmf.data.input.attribute.probability.AttributeValueProbability

AttributeValueProbability(Comparable, Double) - Constructor for class net.sf.jdmf.data.input.attribute.probability.AttributeValueProbability

AttributeValueProbabilityComparator - Class in net.sf.jdmf.data.input.attribute.probability

Compares two probability values ignoring the attribute values used.

AttributeValueProbabilityComparator() - Constructor for class net.sf.jdmf.data.input.attribute.probability.AttributeValueProbabilityComparator