Association rule mining with modal logic

const WorldMask = Vector{Int64}

Vector whose i-th position stores how many times a certain MeaningfulnessMeasure applied on a specific Itemsets is true on the i-th world of multiple instances.

If a single instance is considered, then this acts as a bit mask.

For example, if we consider 5 instances, each of which containing 3 worlds, then the worlds mask of an itemset could be [5,2,0], meaning that the itemset is always true on the first world of every instance. If we consider the second world, the same itemset is true on it only on two instances. If we consider the third world, then the itemset is never true.

See also Itemset, MeaningfulnessMeasure.

const EnhancedItemset = Tuple{Itemset,Int64}

const ConditionalPatternBase = Vector{EnhancedItemset}

Collection of EnhancedItemset. This is useful to manipulate certain data structures when looking for frequent Itemsets, such as FPTree.

This is used to implement fpgrowth algorithm as described here.

See also EnhancedItemset, fpgrowth, FPTree.