An efficient utility-list based high-utility itemset mining algorithm
Author:
Funder
Natural Science Foundation of Tianjin Municipal Science and Technology Commission
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03850-4.pdf
Reference39 articles.
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2. Goyal P, Challa JS, Shrivastava S, Goyal N (2020) Anytime frequent itemset mining of transactional data streams. Big Data Research 21:100146. https://doi.org/10.1016/j.bdr.2020.100146
3. Xun Y, Cui X, Zhang J, Yin Q (2021) Incremental frequent itemsets mining based on frequent pattern tree and multi-scale. Expert Sys Appl 163:113805. https://doi.org/10.1016/j.eswa.2020.113805
4. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: International conference on very large data bases
5. Fournier-Viger P, Chun-Wei Lin J, Truong-Chi T, Nkambou R (2019) A Survey of High Utility Itemset Mining. In: Fournier-viger P, Lin JC-W, Nkambou R, Vo B, Tseng V.S. (eds) Springer, Cham, pp 1–45
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