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Interface Summary | |
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DecisionPointBuilder | Specifies the functionality that should be provided for any process model type in order to be involved in some form of decision point analysis. |
DecisionPointContext | A decision point context keeps track of the case attributes that have been selected for analysis of the belonging decision point (and their type). |
Class Summary | |
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DecisionAnalyser | Class holding the machine learning settings and performing the actual data mining tasks (with the help of the weka library). |
DecisionAttribute | Represents a case attribute as it has been observed in the log. |
DecisionAttributeType | Represents an enum type for the type of an attribute. |
DecisionCategory | A decision category represents one alternative branch spawned by a decision point. |
DecisionMiningLogReader | Extends a given event log by information related to the decision point analysis. |
DecisionMiningLogTrace | Records additional information related to the decision points of the connected process model for one Process instance (i.e., records which alternative paths have been taken in this trace). |
DecisionPoint | Represents a decision point in a model-independent way. |
DecisionPointAnalysisPlugin | The plugin provides an analysis of the decision points in a process model with respect to recurring patterns in associated data elements. |
DecisionPointAnalysisResult | Displays the results of some decision point analysis. |
DecisionPointBuilderPetriNet | Implements the specification of decision points for Petri net models. |
DecisionPointContextPetriNet | A decision point context for Petri nets offers the attributes according different selection scopes within a Petri net mode. |
DecisionPointPetriNet | A decision point that works with Petri net models. |
DecisionPointVisualization | |
J48Analyser | A DecisionAnalyzer using the J48 classifier from the weka library. |
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