Use this method to discover frequent item combinations and implication-style association rules in transaction-like data under explicit support and confidence thresholds.

Transactions

Required object input.

Minimum support

Required number input.

Maximum itemset size

Required integer input.

Find item combinations whose support meets a selected threshold. The tool evaluates the supplied inputs together and returns the named outputs below; it does not infer omitted operating conditions or change the units shown.^[1]

Frequent itemsets

The resulting frequent itemsets returned as an object.

• Frequent co-occurrence does not imply causation or practical importance. Results are sensitive to basket definition, duplicate handling, rare items, threshold selection, sampling, and multiple comparisons; confidence can also be misleading when consequents are common.
• Use finite inputs in the displayed units and preserve more precision than the final presentation requires. Independently verify safety-critical, financial, compliance, or production decisions.

Review support, confidence, lift, leverage, and absolute counts together. Validate useful rules on held-out or later data and apply domain constraints before acting on them.

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