Mining Top-Rank-kErasable Itemsets by PID_lists-Reference-Cited by-同舟云学术

Mining Top-Rank-kErasable Itemsets by PID_lists

Published:2013-01-14 Issue:4 Volume:28 Page:366-379
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int. J. Intell. Syst.

Author:

Deng Zhihong¹

Affiliation:

1. Key Laboratory of Machine Perception (Ministry of Education); School of Electronics Engineering and Computer Science; Peking University; Beijing 100871; People's Republic of China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/int.21580/fullpdf

Reference25 articles.

1. Mining association rules between sets of items in large databases;Agrawal;In: SIGMOD’93,1993

2. Fast algorithms for mining association rules;Agrawal;In: VLDB’94,1994

3. Beyond market basket: Generalizing association rules tocorrelations;Brin;In SIGMOD’97,1997

4. Frequent term-based text clustering;Beil;In: SIGKDD’02,2002

Cited by 28 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. Mining Erasable Itemsets from a Product Database with Quantitative Components;Proceedings of the 2024 11th Multidisciplinary International Social Networks Conference;2024-08-21

2. A Parallel Mining Algorithm for Maximum Erasable Itemset Based on Multi-core Processor;Tehnicki vjesnik - Technical Gazette;2024-04-15

3. Federated Erasable-Itemset Mining with Quasi-Erasable Itemsets;Lecture Notes in Computer Science;2024

4. ERIM : An ensemble of rare itemset mining and its application in the automotive industry;Expert Systems;2022-08-03

5. An Improving Approach for Top-Rank-k Frequent Pattern Mining;Vietnam Journal of Computer Science;2022-05-11