Web Reference: Feb 9, 2026 · ECLAT stands for Equivalence Class Clustering and bottom-up Lattice Traversal. It is a data mining algorithm used to find frequent itemsets in a dataset. These frequent itemsets are then used to create association rules which helps to identify patterns in data. Nov 26, 2021 · ECLAT uses the “lattice-theoric” approach. It breaks down the largest combination of items (biggest lattice) into smaller subsets (sublattices) and processes each smaller subsets to find ... In this algorithm, the support value for an item is found to avoid the generation of subset that case below the minimum support. The function verifier each item-transaction set with all other pairs to generate a new candidate. If this candidate is frequent then it is added in the frequent pair list.
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