Abstract
As there is rules redundancy in mining association rules with traditional methods, an improvement is presented by increasing combinations of itemsets based on minimal generator method; thus, the loss of minimal generator items of frequent closed itemsets is avoided, and the concept and process of rule generation algorithm are further simplified, which makes the algorithm more readable and easier to implement. Experimental results show that the algorithm provide better integrity of minimal generator items and more effective association rules without increasing timing cost.
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References
Luo, G., Liu, J.: Algorithm based on association rule for adjacency graph of frequent closed itemset. Comput. Eng. 36(12), 36–42 (2010)
Pasquier, N., Bastide, Y.: Discovering frequent closed itemsets for association rules. In: Proceedings of the 7th International Conference on Database Theory Jerusalem, pp. 398–416. Springer (1999)
Li, J., Xu, Y., Wang, Y., Wang, Y.: The simplest association rule and mining algorithm. Comput. Eng. 33(13), 46–48 (2007)
Geng, L., Hamiton, J.: Interestingness measure for data mining: a survey. ACM Comput. Surv. 38(3), 1145–1177 (2006)
Shao, F., et al.: Data Mining: Principles and Algorithms, 2nd edn, vol. 9, pp. 90–91. Science Press (2009)
Bastide, Y., Pasquier, N., Taouil, R., et al.: Mining minimal non-redundant association rules using frequent closed itemsets. In: Proceedings of the 1st International Conference on Computational Logic, pp. 927–986. Springer, London (2000)
Acknowledgments
Thanks to the support by The Introduction of International Advanced Forestry Science and Technology project of the State Forestry Administration of China (No. 2013-4-65), the National Natural Science Foundation of China (No. 41271387), the tourism constructing study soft science project of Xian city (No. SF1228-3), and the academician innovation project of Shaanxi Normal University (No. 999521).
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Chen, Xm., Wang, Cy., Cao, H. (2014). Association Rules Mining Based on Minimal Generator of Frequent Closed Itemset. In: Cao, BY., Ma, SQ., Cao, Hh. (eds) Ecosystem Assessment and Fuzzy Systems Management. Advances in Intelligent Systems and Computing, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-319-03449-2_26
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DOI: https://doi.org/10.1007/978-3-319-03449-2_26
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