A Vague Integrated Genetic Model for Associat...

A Vague Integrated Genetic Model for Association Rule Generation

Author Name : Pratibha, Mrs. Sunita Dhingra

ABSTRACT:  Association Rule Mining is predictive measure defined for mapping the input data sequence or patterns to the relative data class. In present work, a more intelligent method is defined for association pattern generation using Vague Rule based Genetic Approach. The method is divided in two main stages. In first stage , the input dataset is process relative to the associated class to assign the weights to the attributes. Based on these weights, the feasible patterns are generated and considered as the initial population set. In second stage, the genetic model is applied on the weighted set to generate the effective rule pattern. The model is applied on dermatology dataset in matlab environment. The implementation results show the effective rule formulation obtained from the work.