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Table 6 Frequent co-occurrences of informational search field tags and association rules

From: A Study on Pubmed Search Tag Usage Pattern: Association Rule Mining of a Full-day Pubmed Query Log

Itemset No. 1 Supp.
[LANGUAGE], [MESH TERMS], [PUBLICATION TYPE],[SUBSET], [MESH MAJOR TOPIC] 0.027
Association Rules Conf.
[MESH TERMS], [PUBLICATION TYPE], [MESH MAJOR TOPIC], [SUBSET] ==> [LANGUAGE] 0.99
[LANGUAGE], [PUBLICATION TYPE], [MESH MAJOR TOPIC], [SUBSET] ==> [MESH TERMS] 0.99
[PUBLICATION TYPE], [MESH MAJOR TOPIC], [SUBSET] ==> [MESH TERMS], [LANGUAGE] 0.98
[MESH TERMS], [LANGUAGE], [MESH MAJOR TOPIC], [SUBSET] ==> [PUBLICATION TYPE] 0.96
[MESH TERMS], [MESH MAJOR TOPIC], [SUBSET] ==> [LANGUAGE], [PUBLICATION TYPE] 0.95
[LANGUAGE], [MESH MAJOR TOPIC], [SUBSET] ==> [MESH TERMS], [PUBLICATION TYPE] 0.93
[MESH TERMS], [LANGUAGE], [PUBLICATION TYPE], [MESH MAJOR TOPIC] ==> [SUBSET] 0.93
[MESH MAJOR TOPIC], [SUBSET] ==> [MESH TERMS], [LANGUAGE], [PUBLICATION TYPE] 0.91
[MESH TERMS], [PUBLICATION TYPE], [MESH MAJOR TOPIC] ==> [LANGUAGE], [SUBSET] 0.91
Itemset No. 2 Supp.
[LANGUAGE], [MESH TERMS], [PUBLICATION TYPE],[SUBSET], [TEXT WORD] 0.021
Association Rules Conf.
[LANGUAGE], [PUBLICATION TYPE], [TEXT WORD], [SUBSET] ==> [MESH TERMS] 0.99
[MESH TERMS], [PUBLICATION TYPE], [TEXT WORD], [SUBSET]==> [LANGUAGE] 0.98
[PUBLICATION TYPE], [TEXT WORD], [SUBSET] ==> [MESH TERMS], [LANGUAGE] 0.97
[MESH TERMS], [LANGUAGE], [PUBLICATION TYPE], [TEXT WORD] ==> [SUBSET] 0.95
[MESH TERMS], [LANGUAGE], [TEXT WORD], [SUBSET] ==> [PUBLICATION TYPE] 0.94
[LANGUAGE], [TEXT WORD], [SUBSET] ==> [MESH TERMS], [PUBLICATION TYPE] 0.91
[MESH TERMS], [PUBLICATION TYPE], [TEXT WORD] ==> [LANGUAGE], [SUBSET] 0.9
  1. This table presents the results of the association mining analysis demonstrating two interesting frequent itemsets consisting of only informational tags. It also presents 16 association rules generated from these two itemsets.