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M

m_MaxArray - Variable in class weka.classifiers.lazy.IB1_Anon
The maximum values for numeric attributes.
m_MinArray - Variable in class weka.classifiers.lazy.IB1_Anon
The minimum values for numeric attributes.
m_Train - Variable in class weka.classifiers.lazy.IB1_Anon
The training instances used for classification.
main(String[]) - Static method in class anonymizer.Anonymizer
 
main(String[]) - Static method in class methods.ExpScenario
 
main(String[]) - Static method in class methods.FileIO
Removes whitespace from the dataset (in between attribute values), Removes any record with unknown values ("?") Outputs the number of records in the final version If specified as parameter, shuffles the records and grips the first numLines records.
main(String[]) - Static method in class weka.classifiers.lazy.IB1_Anon
Main method for testing this class.
man - Variable in class incognito.Incognito_K
Lattice manager that controls how the generalization lattice is traversed
man - Variable in class incognito.Incognito_L
Lattice manager that controls how the generalization lattice is traversed
man - Variable in class incognito.Incognito_T
Lattice manager that controls how the generalization lattice is traversed
MergeTwoInputs(String, String, String) - Static method in class methods.FileIO
Merges file1 and file2 into outFile.
METHOD_ANATOMY - Static variable in class anonymizer.Configuration
Anatomy anonymization method
METHOD_DATAFLY - Static variable in class anonymizer.Configuration
Datafly anonymization method
METHOD_INCOGNITO_K - Static variable in class anonymizer.Configuration
Incognito anonymization method with k-anonymity as privacy definition
METHOD_INCOGNITO_L - Static variable in class anonymizer.Configuration
Incognito anonymization method with l-diversity as privacy definition
METHOD_INCOGNITO_T - Static variable in class anonymizer.Configuration
Incognito anonymization method with t-closeness as privacy definition
METHOD_MONDRIAN - Static variable in class anonymizer.Configuration
Mondrian anonymization method
methods - package methods
 
mondrian - package mondrian
 
Mondrian - Class in mondrian
Implementation of the Mondrian multi-dimensional partitioning algorithm for satisfying k-anonymity described in the following paper:
Mondrian(Configuration) - Constructor for class mondrian.Mondrian
Class constructor
moveRecords(Long, Long) - Method in class anonymizer.AnonRecordTable
Moves records of one equivalence to the other, effectively deleting the fromEID
multiclass_probability(int, double[][], double[]) - Static method in class libsvm.svm
 
mySvmUtil - Class in libsvm
 
mySvmUtil() - Constructor for class libsvm.mySvmUtil
 

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