Abstract
In the past, the MFFP-tree algorithm was proposed to handle the quantitative database for efficiently mining the complete fuzzy frequent itemsets. In this paper, we propose an integrated MFFP (called iMFFP)-tree algorithm for merging several individual MFFP trees into an integrated one. It can help derive global fuzzy rules among distributed databases, thus allowing managers to make more sophisticated decisions. Experimental results also showed the performance of the proposed approach.
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Hong, TP., Lin, CW., Lin, TC., Chen, YF., Pan, ST. (2012). Integration of Multiple Fuzzy FP-trees. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28487-8_34
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DOI: https://doi.org/10.1007/978-3-642-28487-8_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28486-1
Online ISBN: 978-3-642-28487-8
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