Home / Curated / Algorithms / Eclat

Eclat

Algorithms AIMech:Eclat DRAFT

Frequent-itemset mining using depth-first enumeration and transaction-set intersections.

Identity Notes & Concept Scope AssociationRuleLearning does not identify depth-first transaction-set intersection. Mining itemsets and generating association rules are distinct tasks; an intermediate parent may be needed.

Claims & Grounded Evidence

1 Claim

Mechanism #mechanism

Depth-first itemset enumeration intersects transaction sets to calculate support.

supports Source: Eclat: Frequent Item Set Mining · Locator: Author Eclat implementation page, Introduction: depth-first enumeration and intersection of transaction sets

⚠️ Curated Limitations & Negative Results

This record supports method identity and the stated mechanism only; no universal performance or biological efficacy claim is curated.
Proposed placement is an inference from the existing AIO hierarchy; maintainers must resolve task, algorithm and model scope before acceptance. Frequent-itemset mining and association-rule induction are different operations; an intermediate parent may be needed.

Artificial Intelligence Ontology (AIO) Grounding

Mapped AIO Classes

AIO Target Class	Mapping Relation	Mapping Rationale
`AIO:AssociationRuleLearning` Association Rule Learning	related_match	AssociationRuleLearning does not identify depth-first transaction-set intersection. Mining itemsets and generating association rules are distinct tasks; an intermediate parent may be needed. Mapping is local curation, not an upstream subclass assertion.

Evidence Sources & Primary Literature

1 Source

Source ID	Publication / Document	Type / Access	Reference & Checksum
`method-source`	Eclat: Frequent Item Set Mining Christian Borgelt	official documentation documentation

Curation Provenance

Curator: Codex

Method: ai_assisted

Model: GPT-6

Created: 2026-10-11T03:01:34Z

Updated: 2026-10-11T03:01:34Z

Source File: data/curated/Eclat.yaml