See: Description
Interface | Description |
---|---|
ARXListener |
This class implements a listener for the ARX framework.
|
DataHandleInternal.InterruptHandler |
Interface
|
DataType.DataTypeWithFormat |
An interface for data types with format.
|
DataType.DataTypeWithRatioScale<T> |
An interface for data types with a ratio scale.
|
Class | Description |
---|---|
ARXAnonymizer |
This class offers several methods to define parameters and execute the ARX
algorithm.
|
ARXClassificationConfiguration<T extends ARXClassificationConfiguration<?>> |
An base class for configuration classes for classification experiments
|
ARXConfiguration |
A generic configuration for the ARX anonymizer.
|
ARXConfiguration.ARXConfigurationInternal |
Class for internal use that provides access to more parameters and functionality.
|
ARXCostBenefitConfiguration |
Basic configuration of monetary amounts, such as the publisher's benefit
per record or the per-record fine fine for a successful re-identification attack.
|
ARXFeatureScaling |
Configuration for feature scaling
|
ARXLattice |
This class implements a representation of the generalization lattice that is
exposed to users of the API.
|
ARXLattice.LatticeDeserializationContext |
Context for deserialization.
|
ARXPopulationModel |
This class models population properties for risk estimation
|
ARXProcessStatistics |
Statistics about the anonymization process for output data
|
ARXProcessStatistics.Step |
One individual anonymization step
|
ARXResult |
Encapsulates the results of an execution of the ARX algorithm.
|
ARXSolverConfiguration |
Runtime configuration for the solver
|
AttributeType |
Represents an attribute type.
|
AttributeType.Hierarchy |
This class implements a generalization hierarchy.
|
AttributeType.Hierarchy.DefaultHierarchy |
The default implementation of a generalization hierarchy.
|
AttributeType.MicroAggregationFunction |
This class is used to define aggregate functions for microaggregation.
|
AttributeType.MicroAggregationFunctionDescription |
This class describes a microaggregation function
|
Data |
Represents input data for the ARX framework.
|
Data.DefaultData |
The default implementation of a data object.
|
DataDefinition |
Encapsulates a definition of the types of attributes contained in a dataset.
|
DataGeneralizationScheme |
This class encapsulates a generalization scheme
|
DataHandle |
This class provides access to dictionary encoded data.
|
DataHandleInput |
An implementation of the DataHandle interface for input data.
|
DataHandleInternal |
Wrapper class that provides information to StatisticsBuilder.
|
DataHandleOutput |
An implementation of the class DataHandle for output data.
|
DataHandleSubset |
This implementation of a data handle projects a given data handle onto a given research subset.
|
DataSelector |
A selector for tuples.
|
DataSource |
This class provides configuration options for importing data from CSV-files, from Excel-files
or via a JDBC connection.
|
DataSubset |
This class represents a the dataset that is to be de-identified
as a subset of the given population table.
|
DataType<T> |
This class provides access to the data types supported by the ARX framework.
|
DataType.ARXDate |
Base class for date/time types.
|
DataType.ARXDecimal |
Base class for numeric types.
|
DataType.ARXInteger |
Base class for numeric types.
|
DataType.ARXOrderedString |
Base class for ordered string types.
|
DataType.ARXString |
Base class for string types.
|
DataType.DataTypeDescription<T> |
An entry in the list of available data types.
|
RowSet |
A set of rows.
|
Enum | Description |
---|---|
ARXConfiguration.Monotonicity |
Monotonicity.
|
ARXConfiguration.SearchStepSemantics |
The semantics of heuristic search steps.
|
ARXLattice.Anonymity |
Reflects different anonymity properties.
|
ARXPopulationModel.Region |
Regions
|
DataGeneralizationScheme.GeneralizationDegree |
A specific generalization degree
|
DataScale |
This class represents different scales of measure.
|
AttributeType
encapsulates the four different kinds of attributes recognized by the framework.DataType
encapsulates the three different kinds of data types recognized by the framework.Data
represents an input dataset for the algorithm.DataDefinitio
, an instance of which can be obtain for any input data by calling Data.getDefinition()
, allows assign attribute types, data types and further parameters to a dataset.DataHandle
, an instance of which can be obtain for any input data by calling Data.getHandle()
and for any output data by calling ARXResult.getHandle()
, implements convenience methods for accessing a dictionary encoded representation of a dataset. It also allows manipulating the data (e.g., sorting it) and makes sure that input and output data are always in sync.ARXAnonymizer
represents the actual algorithm and allows to derive anonymous representations of the input dataset, e.g., by calling ARXAnonymizer.kAnonymize()
or ARXAnonymizer.lDiversify()
.ARXResult
represents the results of executing the algorithm. It provides access to the globally optimal solution and the underlying generalization lattice ARXLattice
.ARXAdapter
can be utilized to attach a listener to the ARX framework, tracking its progress while anonymizing a dataset.