Information Technology Journal1812-56381812-5646Asian Network for Scientific Information10.3923/itj.2008.119.124DechangPiXiaolinQin1200871A great number of association rules
found in the dataset makes the decision maker dizzy to analyze and use.
A new algorithm for association rules clustering is proposed and applied
to association rules clustering. Firstly, an example is presented to demonstrate
the weakness by the distance measure for clustering. Secondly, the definition
of fuzzy simulation degree and simulated matrix for association rules
are put forward. Thirdly, a new algorithm based on a dynamic tree is brought
forward, which can be used to implement the fuzzy clustering. Experiment
shows that this algorithm can efficiently cluster the association rules
for a user to understand.]]>Agrawal, R., T. Imielinski and A. Swami,1993Agrawal, R. and R. Srikant,1994Barbara, D. and P. Chen,2003Crespoa, F. and R. Weberb,2005De-Chang, P., Q. Xiao-lin, G. Wang-Feng and C. Ran,2005Giannotti, F., C. Gozzi and G. Manco,2002Grabmeier, J. and R. Rudolph,2002Groenen, P. and J.F.K. Jajuga,2001Hirano, S. and S. Tsumoto,2003Oh, S.H. and W.S. Lee,2003Padmanabhan, B. and A. Tuzhilin,1999Ravi, T.V. and C.K. Gowda,1999Timm, H., C. Doring and R. Kruse,2004Xiaoyong, D., S. Suzuki and N. Ishii,1999Yih-Jen, H., C. Shyi-Ming, C. Yu-Chuan and L. Chia-Hoang,2005Tsay, Y.J. and J.Y. Chiang,2005Zobel, C.W. and L.P. Rees,2005