Absolute Soft Set Approach for Mining Association Patterns

Molodtsov initiated the concept of soft set as a new mathematical tool for dealing with uncertainties. In 2003, Maji put forward several notions on Soft Set Theory. In this paper, absolute soft set approach has been developed for mining association patterns from a transactional data set. This approach is used for mining associations has been illustrated with the help of an example and experiment on a real world data set. In particular, the work demonstrates that absolute soft set theory can be applied to problems that contain uncertainties especially in decision making problems. The proposed approach gives better picture of association relationship, confidence levels and is helpful in addressing the absolute association patterns.

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