Research Article

Negative and Positive Association Rules Mining from Text Using Frequent and Infrequent Itemsets

Table 4

Positive and negative rules from both frequent and infrequent itemsets.
(a) Positive rules from frequent itemsets

RuleSupportConfidenceLift

{chemo radiation treatment} →   {tumor}0.212.0
{surgery tumor} → {radiation}0.2511.4286
{radiation surgery} → {tumor}0.250.83331.6667
{treatment} → {radiation}0.450.91.2857
{treatment tumor} → {radiation}0.311.4286
{tumor} → {radiation}0.511.4286

(b) Negative rules from frequent itemsets

RuleSupportConfidenceLift

{radiation} → {~cancer}0.50.71431.0204
{~temodar} → {radiation}0.48250.83331.6667
{~radiation} → {glioblastoma}0.6511.4285

(c) Positive rules from infrequent itemsets

RuleSupportConfidenceLift

{cancer treatment} → {tumor}0.1512
{doctor temodar} → {chemo}0.0512.8571
{brain chemo} → {doctor}0.1512.2222
{mri tumor} → {brain}0.112.5

(d) Negative rules from infrequent itemsets

RuleSupportConfidenceLift

{chemo} → {~surgery}0.3511.5385
{glioblastoma} → {~treatment}0.312.13
{chemo} → {~glioblastoma}0.350.951.4286