static <E> CausalPrecedenceAbstraction<E> |
CausalAbstractionFactory.constructAlphaPlusPlusCausalPrecedenceAbstraction(CausalAbstraction<E> cra,
UnrelatedAbstraction<E> ua) |
static <E> CausalPrecedenceAbstraction<E> |
CausalAbstractionFactory.constructAlphaPlusPlusCausalPrecedenceAbstraction(CausalAbstraction<E> cra,
UnrelatedAbstraction<E> ua,
double threshold) |
static <T> double[][] |
CausalAbstractionFactory.constructAlphaPlusPlusCausalPrecedenceAbstractionMatrix(CausalAbstraction<T> cra,
UnrelatedAbstraction<T> ua) |
static <T> org.processmining.framework.util.Pair<double[][],double[][]> |
CausalAbstractionFactory.constructAlphaPlusPlusCausalPrecedenceSuccessionAbstractionMatrix(CausalAbstraction<T> cra,
UnrelatedAbstraction<T> ua) |
static <T> CausalSuccessionAbstraction<T> |
CausalAbstractionFactory.constructAlphaPlusPlusCausalSuccessionAbstraction(CausalAbstraction<T> cra,
UnrelatedAbstraction<T> ua) |
static <T> double[][] |
CausalAbstractionFactory.constructAlphaPlusPlusCausalSuccessionAbstractionMatrix(CausalAbstraction<T> cra,
UnrelatedAbstraction<T> ua) |
static <E> EventuallyFollowsAbstraction<E> |
EventuallyFollowsAbstractionFactory.constructAlphaPlusPlusEventuallyFollowsAbstraction(CausalAbstraction<E> cra,
LongTermFollowsAbstraction<E> ltfa) |
static <E> double[][] |
EventuallyFollowsAbstractionFactory.constructAlphaPlusPlusEventuallyFollowsMatrix(CausalAbstraction<E> cra,
LongTermFollowsAbstraction<E> ltfa) |
static <E> MendaciousAbstraction<E> |
MendaciousAbstractionFactory.constructAlphaSharpMendaciousAbstraction(CausalAbstraction<E> cra,
DirectlyFollowsAbstraction<E> dfa,
ParallelAbstraction<E> pa) |
static <E> CausalAbstraction<E> |
CausalAbstractionFactory.constructAlphaSharpRealCausalAbstraction(CausalAbstraction<E> cpaOriginal,
MendaciousAbstraction<E> ma) |
static <E> double[][] |
CausalAbstractionFactory.constructAlphaSharpRealCausalAbstractionMatrix(CausalAbstraction<E> cpaOriginal,
MendaciousAbstraction<E> ma) |
static <E> double[][] |
MendaciousAbstractionFactory.constructBooleanMendaciousAbstractionMatrix(CausalAbstraction<E> cra,
DirectlyFollowsAbstraction<E> dfa,
ParallelAbstraction<E> pa)
precondition: cra,dfa,pa share the same eventclasses
|
static <E> org.processmining.framework.util.Pair<MendaciousAbstraction<E>,MendaciousAbstraction<E>> |
MendaciousAbstractionFactory.splitByRedundancyRuleAlphaSharp(CausalAbstraction<E> ca,
MendaciousAbstraction<E> ma)
Please refer to Page 109, Equation 1 of
"Mining Process Models with Prime Invisible Tasks"; L.
|