All Classes Interface Summary Class Summary Enum Summary
| Class |
Description |
| AbsteractionType |
|
| AbstractItemset |
This is an abstract class for an itemset (a set of items.
|
| AbstractItemset |
This is an abstract class for an itemset (a set of items.
|
| AbstractOrderedItemset |
This is an abstract class indicating general methods
that an ordered itemset should have, and is designed for ordered itemsets where items are sorted
by lexical order and no item can appear twice.
|
| AbstractOrderedItemset |
This is an abstract class indicating general methods
that an ordered itemset should have, and is designed for ordered itemsets where items are sorted
by lexical order and no item can appear twice.
|
| ActivitySelectionPlugin |
|
| AdjustingType |
|
| AFAFilteringAlgorithm |
|
| AFAFilteringAlgorithmParameters |
|
| AFAlgorithm |
|
| AFDialog |
|
| AFPlugin |
|
| AlgoCMDeogun |
This is the original implementation of the CMDeo algorithm
for mining sequential rules common to several sequences.
|
| AlgoFPGrowth |
This is an implementation of the FPGROWTH algorithm (Han et al., 2004).
|
| AlgoPrefixSpan |
This is a 2016 implementation of the PrefixSpan algorithm.
|
| AlgoRULEGROWTH |
This is the original implementation of the RULEGROWTH algorithm for mining sequential rules
common to several sequences where antecedent and consequent are unordered itemsets.
|
| AlgoRULEGROWTHTemp2 |
This is the original implementation of the RULEGROWTH algorithm for mining sequential rules
common to several sequences where antecedent and consequent are unordered itemsets.
|
| AlgoTRuleGrowth |
This is the original implementation of the TRULEGROWTH algorithm for mining sequential rules
with a window size constraint.
|
| AlignmentReplayer |
|
| AlignmentReplayResult |
|
| AlphaAlgorithmParameters |
|
| AntTsp |
|
| ApplyAlphaAlgorithm |
|
| ApplyETConformance |
|
| ApplyFilteringAlgorithm |
|
| ApplyILPMiner |
|
| ApplyInductiveMiner |
|
| ApplyMiningAlgorithm |
|
| ApplySplitMiner |
|
| ApproxAlignmentReplayer |
|
| ApproxFitnessReplayer |
|
| ArraysAlgos |
This class provides a set of basic methods that can be used with itemsets
represented as arrays of integers.
|
| ArraysAlgos |
This class provides a set of basic methods that can be used with itemsets
represented as arrays of integers.
|
| AttributeThresholdConfigurationStep |
|
| BinomialConfidenceCalculator |
|
| BinomialConfidenceCalculator.MethodType |
|
| BPMN2PetriNet |
|
| BPMNToPetriNetConverter |
Created by Raffaele Conforti on 19/02/14.
|
| CallConfortiPlugin |
|
| CloneDataStructureWithNewNodes |
|
| CloneDataStructureWithNewNodes |
|
| CloneProcessTree |
|
| CloneProcessTree |
|
| ClusteringType |
|
| Combination |
|
| ComputeProjectedFitnessPrecision |
|
| ConditionalProbabilityModel |
|
| ConformamceBoundApproximatorPlugin |
|
| ConformanceApproximationL2LAlgo |
|
| ConformanceApproximationL2LAlgo.AlignObj |
|
| ConformanceApproximationL2LPlugin |
|
| ConformanceApproximationPlugin |
|
| ConformanceApproximator |
|
| ConformanceBoundApproximationAlgo |
|
| ConformanceBoundApproximationAlgo.AlignObj |
|
| ConformanceBoundApproximationAlgoforTest |
|
| ConformanceBoundApproximationAlgoforTest.AlignObj |
|
| CreateFiltVisModel |
|
| DirectFollowModel |
|
| EvaluationTest |
|
| EvaluationTest.OneAlignmentJob |
|
| EvaluationTest.TreeAlignmentJob |
|
| EventTimeObject |
|
| EventualFollowModel |
|
| EventuallyFilterPlugin |
|
| Execution |
Created by armascer on 9/11/2017.
|
| FilterBasedOnEventuallyRelationImp |
|
| FilterBasedOnFrequencyAbstraction |
|
| FilterBasedOnRelationMatrix |
|
| FilterBasedOnRelationMatrixK |
|
| FilterBasedOnSequence |
|
| FilterBaseOnSimilarityImp |
|
| FilteredLogExporterSS |
|
| FilteringAlgorithmFactory |
|
| FilteringAlgorithmFactory.algorithms |
|
| FilteringAlgorithmParameters |
|
| FilteringConstants |
|
| FilteringVisualizerModel |
Model that is stored as ProM object and after that is shown by a custom visualizer
|
| FilterLevel |
|
| FilterLevel |
|
| FilterLog |
|
| FilterSelection |
|
| FilterType |
|
| FiltVisModelVisualizer |
|
| FitnessReplayer |
|
| FPNode |
This is an implementation of a FPTree node as used by the FPGrowth algorithm.
|
| FPTree |
This is an implementation of a FPTree as used by the FPGrowth algorithm.
|
| FrequencyBasedProcessTreeParameters |
|
| FrequencyFilteringAlgorithm |
|
| FrequencyFilteringAlgorithmParameters |
|
| FrequencyFilterParameter |
|
| FrequencyFilterPlugin |
|
| generateLog |
|
| generateLog |
|
| generateLog |
|
| HelperFunctions |
|
| HelperFunctions |
|
| IccParameters |
|
| IccResult |
|
| IFConstant |
|
| IFInfoTableModel |
|
| IFListTableModel |
|
| IFModel |
|
| IFPlugin |
|
| IFUtil |
|
| IFVisualizerPlugin |
|
| IMInternalParameters |
|
| IMInternalParameters2 |
|
| IncrementalConformanceChecker |
|
| IncrementalConformanceCheckingAlgoforTest |
|
| IncrementalConformanceCheckingAlgoforTest.AlignObj |
|
| IncrementalConformanceCheckingForTestPlugin |
|
| IncrementalReplayer |
|
| InductiveMinerParameters |
|
| InductiveMinerWithoutLog2 |
|
| InfoTableCellRenderer |
|
| InfoTableStringCellRenderer |
|
| InternalFodinaCaller |
|
| IQR |
|
| Itemset |
This class represents an itemset from a sequence where
the itemset is a list of strings ordered by lexical order and does not
contain an item twice, and the support of the itemset is not stored.
|
| Itemset |
This class represents an itemset (a set of items) implemented as an array of integers with
a variable to store the support count of the itemset.
|
| Itemset |
This class represents an itemset (a set of items) where the itemset is an array of integers
sorted by lexical order where no item can appear twice, and
the ids of transactions/sequences containing this itemset is represented
as a set of integers.
|
| Itemset2 |
|
| Itemsets |
This class represents a set of itemsets, where an itemset is an array of integers
with an associated support count.
|
| Itemsets |
This class represents a set of itemsets, where an itemset is an array of integers
with an associated support count.
|
| JuanSimulationAlgo |
|
| JuanSimulationPlugin |
|
| KannonymLogExporterSS |
|
| LogFilteringInput |
|
| LogFilteringPlugin |
|
| LogFilteringSettingsListener |
|
| LogFilteringUI |
|
| LogModelDFGComparison |
|
| LogProperties |
|
| LogProperties |
|
| LogSimulator |
|
| LogSimulator.traceState |
|
| LogSimulator2 |
|
| MainPane |
|
| MatrixFilteringAlgorithm |
|
| MatrixFilteringAlgorithmParameters |
|
| MatrixFilterParameter |
|
| MatrixFilterPlugin |
|
| MatrixFilterPluginSimple |
|
| MemoryLogger |
This class is used to record the maximum memory usaged of an algorithm during
a given execution.
|
| MineStocPetriNet |
Not yet implemented.
|
| MiningAlgorithmParameters |
|
| MiningAlgorithmsFactory |
|
| MiningAlgorithmsFactory.algorithms |
|
| MixedSimulator7 |
|
| ModelConstants |
|
| MoelEnrich |
|
| myStep |
|
| NetReplayer |
Created by armascer on 9/11/2017.
|
| Network<V> |
|
| Node |
|
| NodeDetailStore |
|
| NodeDetailStore |
|
| NoFilteringAlgorithm |
|
| NoFilteringAlgorithmParameters |
|
| Occurence |
This class represent a set of occurences in a sequence, as defined
in the TRuleGrowth algorithm.
|
| Occurence |
This class represent the first and last occurences of an itemset in a sequence, as defined
in the RuleGrowth algorithm.
|
| OddRulesParameters |
|
| Parameters |
|
| PatternSequenceDatabase |
Implementation of a sequence database, where each sequence is implemented
as a list of integers and should have a unique id.
|
| PerformEnricher |
|
| PetriNetExporterSS |
|
| PetriNetToDFG |
|
| PetriNetTools |
|
| PetrinetUtilsCombo |
|
| PluginDescriptorImpl2 |
|
| PN2DfgTransform |
|
| PrefObj |
|
| PrivacyAnalyzer |
|
| PrivacyAnalyzerPlugin |
|
| PrivacyModel |
|
| PrivacyModelVisualizer |
|
| ProbabilityType |
|
| ProcessTreeBasedFilterVisualizerModel |
|
| ProcessTreeBasedFilterVisualizerModel2 |
|
| ProcessTreeBasedFilterVisualizerPlugin |
|
| ProcessTreeBasedFilterVisualizerPlugin2 |
|
| ProcessTreeExporter |
|
| ProcessTreeExporter |
|
| ProjectionPrecisionPlugin |
|
| ProtoTypeSelection |
|
| ProtoTypeSelection_V2 |
|
| ProtoTypeSelectionAlgo |
|
| ProtoTypeSelectionAlgo_Version2 |
|
| ProtoTypeSelectionAlgo_Version2.AlignObj |
|
| ProtoTypeSelectionAlgo.AlignObj |
|
| ProtoTypeSelectionAlgo2 |
|
| ProtoTypeSelectionAlgo2.AlignObj |
|
| PrototypeType |
|
| PrototypeV2Parameter |
|
| PseudoSequence |
This represents a sequence from a projected database (as based in PrefixSpan).
|
| RelativeLayout |
The RelativeLayout class is a layout manager that
lays out a container's components on the specified X or Y axis.
|
| RelativeLayout |
The RelativeLayout class is a layout manager that
lays out a container's components on the specified X or Y axis.
|
| RelativeLayout |
The RelativeLayout class is a layout manager that
lays out a container's components on the specified X or Y axis.
|
| RelativeLayout |
The RelativeLayout class is a layout manager that
lays out a container's components on the specified X or Y axis.
|
| RelativeLayout |
The RelativeLayout class is a layout manager that
lays out a container's components on the specified X or Y axis.
|
| RepairBasedOnRelationMatrix |
|
| RepairBasedOnWindows |
|
| RepairLog |
|
| RepairTSGenerator |
|
| ReplayerFactory |
|
| ReplayResultsContainer |
|
| Rule |
This class represents a sequential rule found by the CMDeo algorithm.
|
| Rule |
This class represents a sequential rule found by the CMDeo algorithm.
|
| Rules |
This class represents a group of sequential rules found by the CMDeo algorithm.
|
| SampleVariants |
|
| SampleVariants2ForPrediction |
|
| SampleVariants4CrossValidation |
|
| SamplingForPredictionPlugin |
|
| SamplingfromClusterType |
|
| SamplingReturnType |
|
| SamplingType |
|
| ScrollableGridLayout |
LayoutManager which is like a grid, but fixes the sizes of certain rows and
columns to their preferred size.
|
| SelectActivities |
|
| Sequence |
Implementation of a sequence as a list of itemsets, where an itemset is a list of integers.
|
| Sequence |
Implementation of a sequence as a list of itemsets, where an itemset is a list of integers.
|
| SequenceDatabase |
Implementation of a sequence database, where each sequence is implemented
as a list of integers and should have a unique id.
|
| SequenceDatabaseRule |
Implementation of a sequence database, where each sequence is implemented
as a list of integers and should have a unique id.
|
| SequenceExtractorAlgorithm |
|
| SequenceFilterParameter |
|
| SequenceFilterPlugin |
|
| SequenceMiner |
|
| SequentialPattern |
This class represents a sequential pattern.
|
| SequentialPatterns |
A set of sequential patterns grouped by their size (how many items they have).
|
| SFFilteringAlgorithm |
|
| SFFilteringAlgorithmParameters |
|
| SimilarityBasedFiltering |
|
| SimilarityMeasure |
|
| SimplifiedProcessTree |
|
| SimplifiedProcessTreePlugin |
|
| SimulationPane |
|
| SimulationType |
|
| SimulationWizardParameters |
|
| SimulatorCombo |
|
| SplitMinerinProM |
|
| SplitMinerinProMBPMN |
|
| SplitMinerParameters |
|
| StatisticalInductiveMiner |
|
| SubsetPane |
|
| TestingFunctions |
|
| ThresholdCalculator |
|
| TimeStampFixerPlugin |
Created by conforti on 7/02/15.
|
| TimeStampResult |
Created by conforti on 26/02/15.
|
| TimeStampUI |
Created by conforti on 26/02/15.
|
| TraceEditDistance |
|
| TraceReplayResult |
|
| TraceState |
|
| transInfo |
|
| TransObject |
|
| Trie |
Trie(https://en.wikipedia.org/wiki/Trie) is an efficient information
retrieval data structure that we can use to search a word in O(M) time, where
M is maximum string length.
|
| TrieDemo |
|
| VariantCounterPlugin |
|
| VariantFilterImp |
|
| VariantFilteringAlgorithm |
|
| VariantFilteringAlgorithmParameters |
|
| VariantSampelingPlugin |
|
| VisualizerLayout |
|
| VisualizerLayout2 |
|
| Xes2CSV |
|
| Xes2CSVAlgorithm |
|
| YaguangAlgorithm |
|