Ontology Based Post Mining of Association Rules
M N Hima Bindu P Siva Bhavani · International Journal of Innovative Research in Science Engineering and Technology · 2015
The Data Mining process enables the end users to analyze, understand and use the extracted knowledge in an intelligent system or to support in the decision-making processes Association refers to the data mining task of uncovering relationships among the data.In Data Mining, the usefulness of association rules is strongly limited by the huge amount of delivered rules.There are a number of ways to overcome this drawback that depends on the statistical information.But none of them guarantee that the rules extracted are interesting for user.Thus we introduced a new approach in which the user knowledge I taken into the consideration to extract the rules through user interactive system.We propose ontologies to in order to improve the integration of user knowledge in the postprocessing task.The user can even edit or validate ontologies.We propose the Rule Schema formalism extending the specification language for user expectations.The rules extracted are pruned and filtered.So that, voluminous set of rules were reduced to several dozens or less.