Reducing Redundant Association Rules Using Type-2 Fuzzy Logic

Author:

Reheem Eman Abd El,Madbouly Magda M.,Guirguis Shawkat K.

Publisher

Springer International Publishing

Reference20 articles.

1. Shu, J., Tsang, E.: Mining fuzzy association rules with weighted items. In: 2000 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1906–1911 (2000)

2. Deepashri, K.S., Kamath, A.: Survey on techniques of data mining and its applications. Int. J. Emerg. Res. Manag. Technol. 6(2), 198–201 (2017)

3. Delgado, M., Marín, N., Sánchez, D., Vila, M.: Fuzzy association rules: general model and applications. IEEE Trans. Fuzzy Syst. 11–2 (2003)

4. Zhao, Y., Zhang, T.: Discovery of temporal association rules in multivariate time series. In: International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2017), pp. 294–300 (2017)

5. Helm, B.L.: Fuzzy Association Rules an Implementation in R, Master’s thesis, Vienna University of Economics and Business Administration (2007)

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