public class WeightedDecisionMining
extends java.lang.Object
Constructor and Description |
---|
WeightedDecisionMining() |
Modifier and Type | Method and Description |
---|---|
static java.lang.Object[] |
decisionMiner(org.processmining.contexts.uitopia.UIPluginContext context,
org.processmining.models.graphbased.directed.petrinet.PetrinetGraph net,
org.deckfour.xes.model.XLog log) |
static java.util.Map<java.lang.String,org.processmining.models.FunctionEstimator.Type> |
extractAttributeInformation(org.deckfour.xes.model.XLog log) |
static java.util.Map<java.lang.String,java.util.Set<java.lang.String>> |
getLiteralValuesMap(org.deckfour.xes.model.XLog log) |
static java.util.Map<java.lang.String,java.util.Set<java.lang.String>> |
getLiteralValuesMap(org.deckfour.xes.model.XLog log,
boolean forgetTraceConceptName) |
static java.lang.Object[] |
plugin(org.processmining.contexts.uitopia.UIPluginContext context,
org.processmining.models.graphbased.directed.petrinet.PetrinetGraph net,
org.deckfour.xes.model.XLog log,
boolean daikon,
boolean setParameters) |
public static java.lang.Object[] decisionMiner(org.processmining.contexts.uitopia.UIPluginContext context, org.processmining.models.graphbased.directed.petrinet.PetrinetGraph net, org.deckfour.xes.model.XLog log) throws java.lang.Exception
java.lang.Exception
public static java.lang.Object[] plugin(org.processmining.contexts.uitopia.UIPluginContext context, org.processmining.models.graphbased.directed.petrinet.PetrinetGraph net, org.deckfour.xes.model.XLog log, boolean daikon, boolean setParameters) throws java.lang.Exception
java.lang.Exception
public static java.util.Map<java.lang.String,java.util.Set<java.lang.String>> getLiteralValuesMap(org.deckfour.xes.model.XLog log)
public static java.util.Map<java.lang.String,java.util.Set<java.lang.String>> getLiteralValuesMap(org.deckfour.xes.model.XLog log, boolean forgetTraceConceptName)
public static java.util.Map<java.lang.String,org.processmining.models.FunctionEstimator.Type> extractAttributeInformation(org.deckfour.xes.model.XLog log)