Apriori
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
Mining frequent combinations in data item sets. Classic case: "beer and diapers". Scaffolding role: discovering hidden associations. Human intuition often only finds explicit connections; Apriori algorithm scans big data exhaustively to discover counterintuitive but statistically significant "co-occurrence relationships".
SCAFFOLDING EFFECT
Reduce cognitive load
Discovering hidden associations. Human intuition often only finds explicit connections; Apriori algorithm scans big data exhaustively to discover counterintuitive but statistically significant "co-occurrence relationships".
Anchor fast decisions
Based on the "prior property": subsets of frequent itemsets are frequent. Layer-by-layer search (k-1→k) with pruning, counting co-occurrence support.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/A_priori_and_a_posterioriverified
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