Frequent itemset mining using FP-tree: a CLA-based approach and its extended application in biodiversity data
Author:
Funder
Department of Science and Technology, Government of West Bengal
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s11334-022-00500-3.pdf
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3. Han J, Cheng H, Xin D, Yan X (2007) Frequent pattern mining: current status and future directions. Data mining and knowledge discovery 15(1):55–86. https://doi.org/10.1007/s10618-006-0059-1
4. Chen Y-L, Tang K, Shen R-J, Hu Y-H (2005) Market basket analysis in a multiple store environment. Decision support systems 40(2):339–354. https://doi.org/10.1016/j.dss.2004.04.009
5. Pasquier N, Bastide Y, Taouil R, Lakhal L (1999) Efficient mining of association rules using closed itemset lattices. Information systems 24(1):25–46. https://doi.org/10.1016/S0306-4379(99)00003-4
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1. Probabilistic Support Prediction: Fast Frequent Itemset Mining in Dense Data;IEEE Access;2024
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