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B

begin - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset

Fake length and offset.

binarySearch(List<SparseItemset>, SparseItemset, int, int) - Method in class elki.itemsetmining.APRIORI

Binary-search for the next-larger element.

buildFPTree(Relation<BitVector>, int[], int) - Method in class elki.itemsetmining.FPGrowth

Build the actual FP-tree structure.

buildFrequentOneItemsets(Relation<? extends SparseFeatureVector<?>>, int, int) - Method in class elki.itemsetmining.APRIORI

Build the 1-itemsets.

buildFrequentTwoItemsets(List<OneItemset>, Relation<BitVector>, int, int, DBIDs, ArrayModifiableDBIDs) - Method in class elki.itemsetmining.APRIORI

Build the 2-itemsets.

buildIndex(int[], int[], int) - Method in class elki.itemsetmining.FPGrowth

Build a forward map, item id (dimension) to frequency position

buildIndex(int, int) - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.ItemsetSearcher

Build a length index by binary search.

buildIndex(Relation<BitVector>, int, int) - Method in class elki.itemsetmining.Eclat

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