Multi Objective Association Rule Mining with Soft Computing Approach
Lokesh P. Gagnani · 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) · 2020
Due to widespread use of Internet nowadays, there is a tremendous increase in amount of data especially from the social media platforms. Further, the extraction of useful patterns is required from these huge data stored in datasets. Thus the soft computing is gaining importance due to the incorporation of the Artificial Intelligence and the Machine Learning. In this paper Multi Objective Association Rule Mining is employed with medical datasets. The results are implemented with various multi objective measures like confidence, support, etc. Various level of datasets are employed to authenticate the results of the proposed method of association rule mining. The datasets considered are numerical in nature.