SEMMDPREF: algorithm to filter and sort rules using a semantically based ontology technique

摘要: Decision Support System designs the means and methods to go through a series of processes with purpose satisfying needs decision-makers. Most existing algorithms mining rules usually produce large number suffering from problems thresholding, redundancy, overlapping. There is likelihood that some these are already known hence trivial may be meaningless altogether. To tackle problems, this paper suggests an approach discover interesting by pruning filtering them. The consists introducing techniques based on semantic significance, notion dominance between user-preference. Our neither favors nor excludes any measures. More importantly, specifications threshold easier deal with. Concerning algorithm evaluation, we use real database, compare our results others other such as Dominant Preferential Rules:"MDPREFR".