Application of a New Association Rules Mining Algorithm in the Chinese Medical Coronary Disease

2013 ◽  
pp. 375-383
Author(s):  
Feng Yuan ◽  
Hong Liu ◽  
ShouQiang Chen
Keyword(s):  
Coronary Disease ◽  
Association Rules ◽  
Association Rules Mining ◽  
Mining Algorithm ◽  
New Association

Association Rules Mining Algorithm Based on Linked List

2013 ◽  
Vol 380-384 ◽  
pp. 1649-1651
Author(s):  
Lin Zhang ◽  
Jian Li Zhang
Keyword(s):  
Set Theory ◽  
Association Rules ◽  
Reference Data ◽  
Low Cost ◽  
High Accuracy ◽  
Association Rules Mining ◽  
Linked List ◽  
Mining Algorithm ◽  
New Association ◽  
Frequent Item Sets

The paper gave a new association rules mining algorithm based on linked list at the traditional association rules mining algorithm which based on frequent item sets and always ignore the exception rules. The algorithm first scanned the database once and generated the association rules including frequent association rules and exception rules by uses the logical and set theory operations. After example analysis, the algorithm not only with high accuracy and low cost, but also can provide some reference data for exception knowledge mining by generate exception rules.

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