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

D

data - Variable in class libsvm.Cache.head_t

datafly - package datafly

Datafly - Class in datafly

Implementation of the Datafly algorithm for satisfying k-anonymity described in the following paper:

Datafly(Configuration) - Constructor for class datafly.Datafly

Class constructor

dbName - Variable in class sqlwrapper.SqLiteSQLWrapper

dbPath - Variable in class sqlwrapper.SqLiteSQLWrapper

decrement() - Method in class anatomy.AttValueCount

Decrement the count for this attribute value

decrementFirstLCounts(AttValueCount[], double) - Method in class anatomy.Anatomy

Decrements the counts of the first l most frequent sensitive attribute values

degree - Variable in class libsvm.Kernel

degree - Variable in class libsvm.svm_parameter

deleteEquivalence(Long) - Method in class anonymizer.EquivalenceTable

Deletes the equivalence

deleteFile(String) - Static method in class methods.ExpScenario

Deletes the file with the specified name, if exists

dghDepths - Variable in class incognito.LatticeManager

Depths of qi-attributes

distance(Instance, Instance) - Method in class weka.classifiers.lazy.IB1_Anon

Calculates the distance between two instances

do_shrinking() - Method in class libsvm.Solver

do_shrinking() - Method in class libsvm.Solver_NU

dot(svm_node[], svm_node[], FeatureRepresentation, boolean) - Static method in class libsvm.Kernel

dotProduct(svm_node[], svm_node[]) - Method in class featRep.FeatureRepresentation

Computes the expected dot product

dotProduct(svm_node[]) - Method in class featRep.FeatureRepresentation

Computes the expected dot product

dotProductPDF(svm_node[], svm_node[]) - Method in class featRep.FeatureRepresentation

Computes the expected dot product based on QI-statistics

dotProductPDF(svm_node[]) - Method in class featRep.FeatureRepresentation

Computes the expected dot product based on QI-statistics

dotProductUni(svm_node[], svm_node[]) - Method in class featRep.FeatureRepresentation

Computes the expected dot product based on the assumption that values of a generalization are distributed uniformly

dotProductUni(svm_node[]) - Method in class featRep.FeatureRepresentation

Computes the expected dot product based on the assumption that values of a generalization are distributed uniformly

driver - Variable in class sqlwrapper.SqLiteSQLWrapper

drop() - Method in class anonymizer.AnonRecordTable

Drops this table from the database

drop() - Method in class anonymizer.EquivalenceTable

Drops this table from the database