## Uses of Class
org.deidentifier.arx.examples.Example

Packages that use Example
org.deidentifier.arx.examples

### Uses of Example in org.deidentifier.arx.examples

Subclasses of Example in org.deidentifier.arx.examples
`class` `Example1` This class implements an example on how to use the API by directly providing the input datasets.
`class` `Example10` This class implements an example on how to apply the d-presence privacy model and create a research subset by providing a data subset.
`class` `Example11` This class implements an example on how to apply the d-presence privacy model and create a research subset by providing a data selector.
`class` `Example12` This class implements an example on how to apply the d-presence privacy model and create a research subset by providing a complex data selector.
`class` `Example13` This class implements an simple example for using multiple sensitive attributes and different privacy models.
`class` `Example14` This class implements an example on how to use the Loss Metric.
`class` `Example16` This class implements an example of how to use the API for access to basic statistics about the data.
`class` `Example17` This class implements an example of how to list the available data types.
`class` `Example18` This class implements examples of how to use the builders for generalization hierarchies.
`class` `Example19` This class implements an example of how to use the API for creating different output representations of an input dataset.
`class` `Example2` This class implements an example on how to use the API by providing CSV files as input.
`class` `Example20` This class implements examples of how to use aggregate functions.
`class` `Example21` This class demonstrates the use of the data import facilities provided by the ARX framework.
`class` `Example22` This class implements an example on how to use the l-diversity privacy model without protecting sensitive assocations.
`class` `Example23` This class implements an example on how to use multiple instances of l-diversity without protecting sensitive associations.
`class` `Example24` This class implements examples on how to directly use empty and functional hierarchies.
`class` `Example25` This class implements an example for using the generalized loss metric with different types of generalization hierarchies.
`class` `Example26` This class implements examples of how to use an interval-based hierarchy builder with high precision .
`class` `Example27` This class implements an example on how to use data cleansing capabilities
`class` `Example28` This class implements an example on how to use data cleansing using the DataSource functionality.
`class` `Example29` This class implements an example of how to perform risk analyses with the API
`class` `Example3` This class implements an example on how to use the API by directly providing the input datasets.
`class` `Example30` This class implements an example of how to compute summary statistics
`class` `Example31` This class implements an example of how to use microaggregation
`class` `Example32` This class implements an example of how to use microaggregation with generalization
`class` `Example33` This class implements an example of how to use microaggregation.
`class` `Example34` This class implements an example of how to use the heuristic search algorithm
`class` `Example36` This class implements an example of how to use utility-based microaggregation
`class` `Example37` This class implements an example of how to use (e,d)-DP
`class` `Example38` This class implements an example of how to use local recoding with ARX
`class` `Example39` This class implements an example on how to compare data mining performance
`class` `Example4` This class implements an example on how to use the API for tools such as GUIs.
`class` `Example40` This class implements an example on how to compare data mining performance
`class` `Example41` This class implements an example on how to use the k-map model
`class` `Example42` This class implements an example on how to use the k-map and d-presence models combined
`class` `Example43` This class implements an example of how to evaluate combined risk metrics
`class` `Example44` This class implements an example of how to use the k-map privacy model with a statistical estimator.
`class` `Example45` This class implements an example of how to use the mixed risk model.
`class` `Example46` This class implements an example of how to use the distribution of risks
`class` `Example47` Example for evaluating distinction and separation of attributes as described in R.
`class` `Example48` This class implements an example of how to use ordered distance t-closeness.
`class` `Example49` Examples of using the no-attack variant of the game-theoretic approach for performing a monetary cost/benefit analysis using prosecutor risk.
`class` `Example5` This class implements an example on how to use the API by directly providing the input datasets.
`class` `Example50` Examples of using the no-attack variant of the game-theoretic approach for performing a monetary cost/benefit analysis using journalist risk.
`class` `Example51` Examples of using the game-theoretic approach for performing a monetary cost/benefit analysis using prosecutor risk.
`class` `Example52` Examples of using the game-theoretic approach for performing a monetary cost/benefit analysis using journalist risk.
`class` `Example53` This class implements an example on how to generate reports
`class` `Example54` This class implements an example on how to access quality statistics
`class` `Example55` This class implements an example of how to use a fast algorithm for local recoding with ARX
`class` `Example56` This class implements an example of how to evaluate risk with wildcard matching
`class` `Example57` This class implements an example on how to analyze risks with wildcards for data transformed with cell suppression
`class` `Example58` This class implements an example that shows consistent handling of suppressed records in input and output
`class` `Example59` This class implements an example that shows handling of suppressed values and records in input data
`class` `Example6` This class implements an example on how to use the API for tools such as GUIs.
`class` `Example60` This class implements an example of processing highdimensional data
`class` `Example7` This class implements an example on how to use the API for tools such as GUIs.
`class` `Example8` This class implements an example on how to apply the t-closeness criterion.
`class` `Example9` This class implements an example on how to apply the d-presence criterion.