Title :
Research and application of algorithm for mining positive and negative association rules
Author :
Xushan Peng ; Yanyan Wu
Author_Institution :
Inf. Eng. Coll., Ninbo Dahongying Univ., Ningbo, China
Abstract :
In this paper, an effective algorithm is presented to discover positive and negative association rules. Especially, it analyzes the definition of the positive and negative association rules, computational methods of support and confidence level in affairs. It also talks about the conflicted rules problems which are in the positive and negative association rules mining. It gets the solutions of the conflicted rules problems with the related rules.
Keywords :
data mining; conflicted rules problems; negative association rule mining; positive association rule mining; Association rules; Educational institutions; Information technology; Pipelines; Transaction databases; Data mining; Frequent item setS; Positive and negative association rules;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6024017
