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

I

IB1_Anon - Class in weka.classifiers.lazy

Instance-based classification method for anonymized data as described in the following paper:

IB1_Anon() - Constructor for class weka.classifiers.lazy.IB1_Anon

Class constructor.

IB1_Anon(Configuration) - Constructor for class weka.classifiers.lazy.IB1_Anon

Class constructor.

idAttributeIndices - Variable in class anonymizer.Configuration

indices of identifier attributes

idAttributes - Variable in class featRep.FeatureRepresentation

List of identifier attribute indices within the original file

incIndex - Variable in class incognito.LatticeEntry

Index of the qi-attribute that is to be generalized

incLowerBound() - Method in class anonymizer.Interval

incognito - package incognito

Incognito_K - Class in incognito

Implementation of the Incognito algorithm for k-anonymity that appeared in the following paper:

Incognito_K(Configuration) - Constructor for class incognito.Incognito_K

Class constructor

Incognito_L - Class in incognito

Implementation of the l-diversity privacy principle based on the Incognito anonymization algorithm.

Incognito_L(Configuration) - Constructor for class incognito.Incognito_L

Class constructor

Incognito_T - Class in incognito

Implementation of the t-closeness privacy principle based on the Incognito anonymization algorithm.

Incognito_T(Configuration) - Constructor for class incognito.Incognito_T

Class constructor

incType - Variable in class anonymizer.Interval

inclusion type (e.g., [low, high) vs.

incUpperBound() - Method in class anonymizer.Interval

index - Variable in class anonymizer.QIDAttribute

Index of the attribute

index - Variable in class anonymizer.SensitiveAttribute

Index of the attribute

index - Variable in class featRep.CategoricalAtt

index - Variable in class featRep.NumericAtt

index - Variable in class libsvm.svm_node

index - Variable in class libsvm.SVR_Q

INF - Static variable in class libsvm.Solver

initialScan(String) - Method in class featRep.FeatureRepresentation

Sets lower/upper bound for numeric attributes (does nothing for categorical)

inputFilename - Variable in class anonymizer.Configuration

input filename

insert(long, double[], double[]) - Method in class anonymizer.AnonRecordTable

Inserts new AnonRecord to the table (Record ID (RID) assigned automatically)

insertEquivalence(String[]) - Method in class anonymizer.EquivalenceTable

Inserts a new equivalence

insertTuple(String[]) - Method in class anonymizer.EquivalenceTable

Inserts a nwe tuple

insertTupleToAnonTable(String[], long) - Method in class anatomy.Anatomy

Insert a tuple to the anonRecords table

insertTupleToAnonTable(String[], long) - Method in class anonymizer.Anonymizer

Insert a tuple to the anonRecords table

insertTupleToAnonTable(String[], long) - Method in class datafly.Datafly

Insert a tuple to the anonRecords table

insertTupleToAnonTable(String[], long) - Method in class incognito.Incognito_K

Insert a tuple to the anonRecords table

insertTupleToAnonTable(String[], long) - Method in class incognito.Incognito_L

Insert a tuple to the anonRecords table

insertTupleToAnonTable(String[], long) - Method in class incognito.Incognito_T

Insert a tuple to the anonRecords table

insertTupleToAnonTable(String[], long) - Method in class mondrian.Mondrian

Insert a tuple to the anonRecords table

insertTupleToEquivalenceTable(String[]) - Method in class anatomy.Anatomy

Insert a tuple to the equivalence table

insertTupleToEquivalenceTable(String[]) - Method in class anonymizer.Anonymizer

Insert a tuple to the equivalence table

insertTupleToEquivalenceTable(String[]) - Method in class datafly.Datafly

Insert a tuple to the equivalence table

insertTupleToEquivalenceTable(String[]) - Method in class incognito.Incognito_K

Insert a tuple to the equivalence table

insertTupleToEquivalenceTable(String[]) - Method in class incognito.Incognito_L

Insert a tuple to the equivalence table

insertTupleToEquivalenceTable(String[]) - Method in class incognito.Incognito_T

Insert a tuple to the equivalence table

insertTupleToEquivalenceTable(String[]) - Method in class mondrian.Mondrian

Insert a tuple to the equivalence table

Interval - Class in anonymizer

Data struture for generalized numeric attributes (intervals).

Interval(String) - Constructor for class anonymizer.Interval

Class constructor specifying the string representation

is_free(int) - Method in class libsvm.Solver

is_lower_bound(int) - Method in class libsvm.Solver

is_upper_bound(int) - Method in class libsvm.Solver

isCont - Variable in class featRep.FeatureRepresentation

Entry i is true if i^th attribute is numerical

isDomainGeneralizationHierarchy() - Method in class anonymizer.QIDAttribute

Checks whether the VGH for this qid-attribute corresponds to a domain generalization hierarchy.

isGeneralized - Variable in class featRep.FeatureRepresentation

Entry i is true if i^th attribute has been generalized

isIdentifier(int) - Method in class featRep.FeatureRepresentation

Checks if the attribute at index is an identifier

isNormalizationValSet - Variable in class featRep.NumericAtt

isReadyForSuppression(String) - Method in class anonymizer.Anonymizer

Checks if the generalized data is ready for suppression

isSet(String) - Method in class methods.Params

isSingleton() - Method in class anonymizer.Interval

Singleton intervals are categories assigned integer values (e.g., "[35]" or "[35)").