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Full paper

A minimal perfect hashing scheme to mining association rules from frequently updated data

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Pages 391-401 | Received 16 Aug 2004, Accepted 27 May 2005, Published online: 04 Mar 2011

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Mohammad Karim Sohrabi & Narjes Taheri. (2018) A haoop-based parallel mining of frequent itemsets using N-Lists. Journal of the Chinese Institute of Engineers 41:3, pages 229-238.
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Chih-Hung Wu & Jing-Yi Wang. (2015) Associative classification with a new condenseness measure. Journal of the Chinese Institute of Engineers 38:4, pages 458-468.
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Zailani Abdullah, Tutut Herawan & Mustafa Mat Deris. (2012) Mining highly correlated least association rules using scalable trie-based algorithm. Journal of the Chinese Institute of Engineers 35:5, pages 547-554.
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Articles from other publishers (6)

Manuel Wilson, Malavika S Nair, Pramod P. Nair & Anusree M. (2023) A perfect hashing to enhance the performance of Apriori algorithm. A perfect hashing to enhance the performance of Apriori algorithm.
Yun-Fang Tu, Shao-Chen Chang & Gwo-Jen Hwang. (2020) Analysing reader behaviours in self-service library stations using a bibliomining approach. The Electronic Library 39:1, pages 1-16.
Crossref
Jyoti Agarwal & Archana Singh. (2014) Frequent item set generation based on transaction hashing. Frequent item set generation based on transaction hashing.
Chuang-Kai Chiou & Judy C. R. Tseng. 2012. Web Technologies and Applications. Web Technologies and Applications 106 113 .
Shilpa Sonawani & Amrita Mishra. 2010. Advanced Data Mining and Applications. Advanced Data Mining and Applications 149 160 .
R. Rathinasabapathy & R. Bhaskaran. (2009) Performance Comparison of Hashing Algorithm with Apriori. Performance Comparison of Hashing Algorithm with Apriori.

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