| Modifier and Type | Method and Description |
|---|---|
DeDuplicatedLog |
Clusterer.getModifiedLog(org.deckfour.xes.model.XLog log,
NLPLogUtilsParameters nlpParameters) |
DeDuplicatedLog |
ClustererImpl.getModifiedLog(org.deckfour.xes.model.XLog log,
NLPLogUtilsParameters nlpParameters) |
DeDuplicatedLog |
Clusterer.getModifiedLog(org.deckfour.xes.model.XLog log,
NLPLogUtilsParameters nlpParameters,
ContextParameters parameters) |
DeDuplicatedLog |
ClustererImpl.getModifiedLog(org.deckfour.xes.model.XLog log,
NLPLogUtilsParameters nlpParameters,
ContextParameters parameters) |
| Modifier and Type | Class and Description |
|---|---|
class |
DeDuplicatedLogImplWithAssumedUnderscoreAtAllTimes |
class |
DeDuplicatedLogImplWithUnderscoresForDeDuplicatedActivities
Dummy de-duplicated log class, which simply refers all XLog methods to a
shadow log.
|
| Modifier and Type | Method and Description |
|---|---|
DeDuplicatedLog |
DeduplicationResult.getLog() |
static DeDuplicatedLog |
FodinaMethod.getLogWithDuplicateLabels(org.deckfour.xes.model.XLog log,
NLPLogUtilsParameters nlpParameters,
ContextParameters contextParameters) |
static DeDuplicatedLog |
OurMethod.getLogWithDuplicateLabels(org.deckfour.xes.model.XLog log,
NLPLogUtilsParameters nlpParameters,
ContextParameters contextParameters) |
DeDuplicatedLog |
AbstractMethod.selectBestCandidate(java.lang.Iterable<DeDuplicatedLog> deDuplicatedLogs,
org.deckfour.xes.model.XLog inputLog,
NLPLogUtilsParameters nlpParameters) |
DeDuplicatedLog |
Method.selectBestCandidate(java.lang.Iterable<DeDuplicatedLog> logs,
org.deckfour.xes.model.XLog inputLog,
NLPLogUtilsParameters nlpParameters)
Each method must select the best candidate based on a number of logs.
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.Iterable<DeDuplicatedLog> |
CachedCortadellaMethod.applyDeduplication(org.deckfour.xes.model.XLog inputLog,
NLPLogUtilsParameters nlpParameters,
java.lang.String logName) |
java.lang.Iterable<DeDuplicatedLog> |
CortadellaMethod.applyDeduplication(org.deckfour.xes.model.XLog logFile,
NLPLogUtilsParameters nlpParameters,
java.lang.String logName) |
java.lang.Iterable<DeDuplicatedLog> |
FodinaMethod.applyDeduplication(org.deckfour.xes.model.XLog inputLog,
NLPLogUtilsParameters nlpParameters,
java.lang.String logName) |
java.util.Collection<DeDuplicatedLog> |
LabelerPredictionMethod.applyDeduplication(org.deckfour.xes.model.XLog inputLog,
NLPLogUtilsParameters nlpParameters,
java.lang.String logName) |
java.lang.Iterable<DeDuplicatedLog> |
Method.applyDeduplication(org.deckfour.xes.model.XLog inputLog,
NLPLogUtilsParameters nlpParameters,
java.lang.String logName)
Each method must return a new log based on an input log.
|
java.lang.Iterable<DeDuplicatedLog> |
NodeduplicationMethod.applyDeduplication(org.deckfour.xes.model.XLog inputLog,
NLPLogUtilsParameters nlpParameters,
java.lang.String logName) |
java.lang.Iterable<DeDuplicatedLog> |
OurMethod.applyDeduplication(org.deckfour.xes.model.XLog inputLog,
NLPLogUtilsParameters nlpParameters,
java.lang.String logName) |
java.util.Collection<DeDuplicatedLog> |
OurPredictionMethod.applyDeduplication(org.deckfour.xes.model.XLog log,
NLPLogUtilsParameters nlpParameters,
java.lang.String logName) |
java.util.Collection<DeDuplicatedLog> |
XixiMethod.applyDeduplication(org.deckfour.xes.model.XLog log,
NLPLogUtilsParameters nlpParameters,
java.lang.String logName) |
| Modifier and Type | Method and Description |
|---|---|
DeduplicationResult |
AbstractMethod.getDeduplicationResult(org.deckfour.xes.model.XLog inputLog,
DeDuplicatedLog deDuplicatedLog,
org.processmining.plugins.InductiveMiner.efficienttree.EfficientTree flowerTree,
NLPLogUtilsParameters nlpParameters,
double initialComplexity,
boolean useAlignment) |
static org.processmining.plugins.InductiveMiner.efficienttree.EfficientTree |
TreeDiscovery.getEfficientTree(org.deckfour.xes.model.XLog inputLog,
DeDuplicatedLog deDuplicatedLog,
NLPLogUtilsParameters nlpParameters) |
void |
DeduplicationResult.setLog(DeDuplicatedLog log) |
static org.processmining.plugins.InductiveMiner.efficienttree.EfficientTree |
TreeDiscovery.undoDeDuplicationOnTree(org.processmining.plugins.InductiveMiner.efficienttree.EfficientTree input,
DeDuplicatedLog deDuplicatedLog) |
| Modifier and Type | Method and Description |
|---|---|
DeDuplicatedLog |
AbstractMethod.selectBestCandidate(java.lang.Iterable<DeDuplicatedLog> deDuplicatedLogs,
org.deckfour.xes.model.XLog inputLog,
NLPLogUtilsParameters nlpParameters) |
DeDuplicatedLog |
Method.selectBestCandidate(java.lang.Iterable<DeDuplicatedLog> logs,
org.deckfour.xes.model.XLog inputLog,
NLPLogUtilsParameters nlpParameters)
Each method must select the best candidate based on a number of logs.
|
| Constructor and Description |
|---|
DeduplicationResult(Method method,
ComplexityResult result,
DeDuplicatedLog log) |
| Modifier and Type | Method and Description |
|---|---|
static DeDuplicatedLog |
DeDuplicateLogAndMinePlugin.deDuplicate(org.deckfour.xes.model.XLog log,
NLPLogUtilsParameters nlpParameters,
OurMethod method,
java.lang.String logName) |
| Modifier and Type | Method and Description |
|---|---|
static void |
DeDuplicateLogAndMinePlugin.undoDeDuplication(org.processmining.models.graphbased.directed.petrinet.Petrinet net,
DeDuplicatedLog deDuplicatedLog)
Undo the de-duplicate of the Petri net.
|