Upper Bound on the Size of FP-Tree-Reference-Cited by-同舟云学术

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Upper Bound on the Size of FP-Tree

Published:2020 Issue: Volume: Page:23-33
ISSN:0302-9743
Container-title:Advances in Databases and Information Systems
language:
Short-container-title:

Author:

Shahbazi Nima,Gryz Jarek

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-54832-2_4

Reference8 articles.

1. Deng, Z.-H., Lv, S.-L.: PrePost+: an efficient N-lists-based algorithm for mining frequent itemsets via children-parent equivalence pruning. Expert. Syst. Appl. 42(13), 5424–5432 (2015)

2. Deng, Z.H., Wang, Z.H., Jiang, J.J.: A new algorithm for fast mining frequent itemsets using N-lists. Sci. China Inf. Sci. 55(9), 2008–2030 (2012)

3. Han, J., Pei, J., Yin, Y.: Mining frequent patterns without candidate generation. ACM SIGMOD Rec. 29, 1–12 (2000)

4. Leung, C.K.-S., Khan, Q.I., Li, Z., Hoque, T.: CanTree: a canonical-order tree for incremental frequent-pattern mining. Knowl. Inf. Syst. 11(3), 287–311 (2007). https://doi.org/10.1007/s10115-006-0032-8

5. Liu, G., Lu, H., Yu, J.X.: CFP-tree: a compact disk-based structure for storing and querying frequent itemsets. Inf. Syst. 32(2), 295–319 (2007)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Trie-based Output Space Itemset Sampling;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

2. Upper bounds for can-tree and FP-tree;Journal of Intelligent Information Systems;2021-09-21

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