TKU-BChOA: an accurate meta-heuristic method to mine Top-k high utility itemsets
Author:
Funder
Shahid Rajaee Teacher Training University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11227-024-06275-7.pdf
Reference34 articles.
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3. Dam TL, Li K, Fournier-Viger P, Duong QH (2016) An efficient algorithm for mining top-rank-k frequent patterns. Appl Intell 45:96–111
4. Vo B, Bui H, Vo T, Le T (2020) Mining top-rank-k frequent weighted itemsets using WN-list structures and an early pruning strategy. Knowl-Based Syst 201:106064
5. Wu CW, Shie BE, Tseng VS, Yu PS (2012) Mining top-k high utility itemsets. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 78–86).
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