Ontology Based Data Analysing Approach for Actionable Knowledge Discovery
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6
Abstract
Abstract: In Data Mining, the effectiveness of association rules is limited by the huge quantity of delivered rules. In this manuscript, we propose a new approach to prune and filter discovered rules. An interactive and iterative framework is designed to assist the user along the analyzing task. The manuscript focus on medical data test set for detailed analysis and formation of the ontologies. In the proposed approach, the data set of medical records is entered in the back – end database. The development of associations and the ontology is fully dynamic. In case, any symptom is searched, the proposed approach search from the back end database and creates the ontology that is dynamic in execution. It refers that the unsupervised approach of ontology generation is implemented so that the unbiased results can be achieved. The implementation of proposed work shows the dynamic results in terms of rules found and their effectiveness in the real world scenario.
Authors and Affiliations
S. Antoinette Aroul Jeyanthi , Dr. S. Pannirselvam
Keywords
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