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

E

EditComponent - Class in nz.ac.waikato.mcennis.rat.gui
Frame for editing the properties of a component and setting its pattern.
EditComponent(ApplicationTableModel, int) - Constructor for class nz.ac.waikato.mcennis.rat.gui.EditComponent
Create a new EditComponent object linked to the component at the given row of the given ApplicationTableModel
endDocument() - Method in class nz.ac.waikato.bibliography.XMLParser.ParseBibliographyXML
 
endDocument() - Method in class nz.ac.waikato.bibliography.XMLParser.ParseClassLabel
 
endDocument() - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.ArtistDeciderXML
 
endDocument() - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.FOAF2Graph
 
endDocument() - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.GraphReader
 
endDocument() - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFmArtistHandler
 
endDocument() - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFMArtistTag
 
endDocument() - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFMProfile
 
endDocument() - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.YahooArtistHandler
 
endElement(String, String, String) - Method in class nz.ac.waikato.bibliography.XMLParser.ParseBibliographyXML
 
endElement(String, String, String) - Method in class nz.ac.waikato.bibliography.XMLParser.ParseClassLabel
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.ArtistDeciderXML
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.FOAF2Graph
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.GraphReader
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFmArtistHandler
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFMArtistTag
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFMFriends
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFMProfile
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFMSimilarUsers
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFMUserArtistTags
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFMUserTags
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFMUserTopArtists
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.RATExecution
 
endElement(String, String, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.YahooArtistHandler
 
EnumerateMaximalCliques - Class in nz.ac.waikato.mcennis.rat.graph.algorithm.clustering
Maximal cliques are defined as a fully connected subgraph such that any additional node added to the subgraph is not fully connected.
EnumerateMaximalCliques() - Constructor for class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.EnumerateMaximalCliques
Creates a new instance of EnumerateMaximalCliques
equals(Object) - Method in interface nz.ac.waikato.mcennis.rat.graph.actor.Actor
 
equals(Object) - Method in class nz.ac.waikato.mcennis.rat.graph.actor.BasicUser
implements equals in terms of CompareTo
equals(Object) - Method in class nz.ac.waikato.mcennis.rat.graph.Clique
Equals iff compareTo=0.
equals(Object) - Method in class nz.ac.waikato.mcennis.rat.graph.link.BasicUserLink
 
equals(Object) - Method in class nz.ac.waikato.mcennis.rat.graph.property.BasicProperty
 
error(DoubleMatrix1D, DoubleMatrix1D) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.ScalableHitsPrestige
 
error(DoubleMatrix2D, DoubleMatrix2D) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.ScalablePageRankPrestige
 
error(SAXParseException) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.Handler
Error method for XML parsers
escapeXML(String) - Method in class nz.ac.waikato.mcennis.rat.graph.MemGraph
Encode the string so that it is XML safe
EuclideanDistance - Class in nz.ac.waikato.mcennis.rat.graph.algorithm.reusablecores.distance
Euclidean distance measure as defined in Wikipedia
EuclideanDistance() - Constructor for class nz.ac.waikato.mcennis.rat.graph.algorithm.reusablecores.distance.EuclideanDistance
 
evaluateClassifier(Classifier, Instances, Graph, Actor) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning.MultiInstanceSVM
 
evaluateClassifier(Classifier, Instances, Graph, Actor) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning.SVM
 
evaluateResult(int, int) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning.MultiInstanceSVM
 
execute(Graph) - Method in class nz.ac.waikato.bibliography.algorithm.OutputBibliographyXML
 
execute(Graph) - Method in class nz.ac.waikato.bibliography.algorithm.OutputBridgesByCluster
 
execute(Graph) - Method in class nz.ac.waikato.bibliography.algorithm.OutputDifference
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.AddBasicGeodesicPaths
Calculate each path using a variation of Djikstra's algorithm for spanning trees with modification for recording multiple same-cost minimum paths.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.AddBasicInterestLink
Reads a property list on each actors and calculate all similar actors connected with a given link set.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.AddDegreeGraphProperties
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.AddGeodesicProperties
Calculates properties of a node: (In/Out) Eccentricity - Wasserman and Faust p111 - modified for directional links
Diameter - Wasserman and Faust p111.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.AddMusicLinks
Execute the algorithm against the current graph
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.AddMusicRecommendations
Build a set of music recommendations based on existing links
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.AddMusicReferences
Takes interest links, determines which are artists, then creates an artist actor and links the user to this artist.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.aggregators.AggregateByGraph
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.aggregators.AggregateByLinkProperty
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.aggregators.AggregateLinks
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.aggregators.AggregateOnActor
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.aggregators.CombineProperty
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.aggregators.FromGraphToActor
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.aggregators.PropertyToLink
 
execute(Graph) - Method in interface nz.ac.waikato.mcennis.rat.graph.algorithm.Algorithm
execute the algorithm against the given graph
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.BicomponentClusterer
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.EnumerateMaximalCliques
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.FindStronglyConnectedComponents
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.FindWeaklyConnectedComponents
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.NaiveImplementClique
A naive implementation of the clique algorithm for runtime comparison to the optimized version EnumerateMaximalCliques
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.NormanGirvanEdgeBetweenessClustering
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.TraditionalEdgeBetweenessClustering
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.WekaClassifierClusterer
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.WekaProbablisticClusterer
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.collaborativefiltering.AssociativeMining
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.collaborativefiltering.Item2Item
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.collaborativefiltering.User2User
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.Difference
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation.HalfLife
Calculate all the evaluation metrics against the given graph.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation.KendallTau
Calculate all the evaluation metrics against the given graph.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation.MeanErrorEvaluation
Calculate all the evaluation metrics against the given graph.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation.PearsonCorrelation
Calculate all the evaluation metrics against the given graph.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation.PrecisionRecallFMeasure
Calculate all the evaluation metrics against the given graph.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation.RecommendationError
Calculate all the evaluation metrics against the given graph.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation.ROCAreaEvaluation
Calculate all the evaluation metrics against the given graph.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.ExtractMusicCoverage
Generate a list of all artists linked to in this graph.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.IdentifyBridges
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning.MultiInstanceSVM
Generate music predictions for a user as follows: Calculate all artists A present in the data set.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning.SVM
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning.WekaClassifierMultiAttribute
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning.WekaClassifierOneAttribute
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.OptimizedPathBase
Generates a spanning tree for a given actor.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.AddBasicBetweenessCentrality
Implements betweeness as in Freeman79 except multiple geodesic paths of the same type are treated as independent geodesic paths.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.AddClosenessCentrality
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.AddCombinedCloseness
Uses Djikstra's algorithm for spanning trees.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.AddDegreeCentrality
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.AddPageRankPrestige
Implements the PageRank algorithm in a naive fashion - directly calculating the eigenvector matrix and taking the largest eigenvector (using the Colt scientific computing toolkit.)
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.HITSPrestige
Implements the HITS algorithm by directly calculating the eigenvector matrix using Colt's matrix operators.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.OptimizedLinkBetweeness
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.ScalableHitsPrestige
Implements the following algorithm:
Iterate(G,k) G: a collection of n linked pages k: a natural number Let z denote the vector (1, 1, 1, .
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.ScalablePageRankPrestige
Implements the power version of the Page Rank algorithm using the colt library.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.PrincipalComponentsAnalysis
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.RankingProperties
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.reusablecores.FindStronglyConnectedComponentsCore
Creates sub-graphs consisting of all strongly connected componenents in the graph.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.reusablecores.PathBaseCore
Generates a spanning tree for a given actor.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.similarity.GraphSimilarityByProperty
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.similarity.HierarchyByCooccurance
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.similarity.SimilarityByLink
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.similarity.SimilarityByProperty
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.transformToArray.ActorDistanceMatrix
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.transformToArray.DirectedTriplesHistogram
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.transformToArray.UndirectedTriplesHistogram
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.TrimEdgeUsers
Remove actors without outgoing links.
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.visual.BasicDisplayGraph
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.visual.ColoredByPropertyGraph
 
execute(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.visual.DisplayAll
 
expand(Actor) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.NaiveImplementClique.SubGroup
Generate the next subgroup from this subgroup.
expand(Actor) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.collaborativefiltering.AssociativeMiningItems
Create a new association that also includes the given new actor.
expand(Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.Clique
Given this clique (and the graph) - generate all cliques of one bigger size that have this clique as a subclique where the new actor is greater (by compareTo) than any other actor in the clique.
expand(Actor) - Method in class nz.ac.waikato.mcennis.rat.graph.Clique
Identical to add(Actor u) except that this Clique is unchanged and a new Clique is returned.
expandSet(Actor) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.collaborativefiltering.AssociativeMiningItemSetGroup
Expand the current set of associations with all other actors in either the positive or negaqtive base set.
expandUser(Crawler, String) - Method in class nz.ac.waikato.mcennis.rat.parser.xmlHandler.LastFMUserExpansion
Takes the given username and schedules the parsing of LastFM using this information if this username has not already been scheduled for download or blocked.
ExponentialDecayParameter - Class in nz.ac.waikato.mcennis.rat.graph.descriptors
Extension of BasicParameter that sets the value, if double, to a 0.5 exponential decay of all values seen.
ExponentialDecayParameter() - Constructor for class nz.ac.waikato.mcennis.rat.graph.descriptors.ExponentialDecayParameter
Creates a new instance of ExponentialDecayParameter
exportAssociations() - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.collaborativefiltering.AssociativeMiningItemSetGroup
Combine all significant relations found by exporting the objects that describe them in an array.
exportToString(AssociativeMiningItems, Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.property.AssociativeMiningItemsFactory
 
exportToString(Double, Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.property.DoubleFactory
 
exportToString(File, Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.property.FileFactory
 
exportToString(HashMap<String, Double>, Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.property.HashMapStringDoubleFactory
 
exportToString(Instance, Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.property.InstanceFactory
 
exportToString(Instances, Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.property.InstancesFactory
 
exportToString(Integer, Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.property.IntegerFactory
 
exportToString(Long, Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.property.LongFactory
 
exportToString(Type, Graph) - Method in interface nz.ac.waikato.mcennis.rat.graph.property.PropertyValueFactory
Create a string representing the contents of this object.
exportToString(String, Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.property.StringFactory
 
exportToString(URL, Graph) - Method in class nz.ac.waikato.mcennis.rat.graph.property.URLFactory
 
extend(Clique, Actor[]) - Method in class nz.ac.waikato.mcennis.rat.graph.algorithm.clustering.EnumerateMaximalCliques
create a set of new cliques of size n+1 from a clique of size n.
ExtractMusicCoverage - Class in nz.ac.waikato.mcennis.rat.graph.algorithm
Class that enumerates all artists that are present in the given dataset.
ExtractMusicCoverage() - Constructor for class nz.ac.waikato.mcennis.rat.graph.algorithm.ExtractMusicCoverage
Creates a new instance of ExtractMusicCoverage

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