RANKING ASSOCIATION RULES BY TOPSIS METHOD WITH COMBINATION WEIGHTS

摘要

@@Various rules can be generated from databases by using association rule algorithms,but only a small number of these rules may be selected for implementation due to the limitations of resources Thus, evaluating the quality of these rules becomes a hot topic in data mining field.Based on multiple criteria decision making theory,a framework for ranking the mined association rules using TOPSIS method with combination weights,considering both objective interestingness measures and the users'domain information,is proposed. An example of market basket analysis is applied to illustrate the applicability of this method.