Finding Frequent Itemsets: Difference between revisions
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== Parameters == | == Parameters == | ||
$n$: total number of transactions (size of database) | |||
== Table of Algorithms == | == Table of Algorithms == | ||
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[[File:Finding Frequent Itemsets - Time.png|1000px]] | [[File:Finding Frequent Itemsets - Time.png|1000px]] | ||
Latest revision as of 09:09, 28 April 2023
Description
We assume there is a number $s$, called the support threshold. If $I$ is a set of items, the support for $I$ is the number of baskets for which $I$ is a subset. We say $I$ is frequent if its support is $s$ or more
Parameters
$n$: total number of transactions (size of database)
Table of Algorithms
| Name | Year | Time | Space | Approximation Factor | Model | Reference |
|---|---|---|---|---|---|---|
| A-Priori algorithm | 1994 | $O(n^{2})$ | $O(n^{2})$ | Exact | Deterministic | Time & Space |
| The Algorithm of Park; Chen; and Yu (PCY) | 1995 | $O(n^{2})$ | $O(n^{2})$ | Exact | Deterministic | Time |
| The Multistage Algorithm | 1999 | $O(n^{2})$ | $O(n^{2})$ | Exact | Deterministic | Time |
| The Multihash Algorithm | 1999 | $O(n^{2})$ | $O(n^{2})$ | Exact | Deterministic | Time |
Time Complexity Graph
