Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases-Reference-Cited by-同舟云学术

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Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases

Published:2020-02 Issue: Volume:103 Page:58-78
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Yun Unil,Nam Hyoju,Kim Jongseong,Kim Heonho,Baek Yoonji,Lee Judae,Yoon Eunchul,Truong Tin,Vo Bay,Pedrycz Witold

Funder

Ministry of Education, Science and Technology

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference55 articles.

1. An efficient algorithm for mining the top-k high utility itemsets, using novel threshold raising and pruning strategies;Duong;Knowl.-Based Syst.,2016

2. A survey of incremental high-utility itemset mining;Gan;Wiley Interdiscip. Rev. Data Min. Knowl. Discov.,2018

3. A survey of parallel sequential pattern mining;Gan;ACM Trans. Knowl. Discov. Data,2019

4. Single-pass based efficient erasable pattern mining using list data structure on dynamic incremental databases;Lee;Future Gener. Comput. Syst.,2018

5. Erasable itemset mining over incremental databases with weight conditions;Lee;Eng. Appl. Artif. Intell.,2016

Cited by 40 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 Top-k High Average-Utility Sequential Patterns for Resource Transformation;Applied Sciences;2023-11-15

2. An advanced approach for incremental flexible periodic pattern mining on time-series data;Expert Systems with Applications;2023-11

3. Efficient mining of concise and informative representations of frequent high utility itemsets;Engineering Applications of Artificial Intelligence;2023-11

4. Parallel approaches to extract multi-level high utility itemsets from hierarchical transaction databases;Knowledge-Based Systems;2023-09

5. A new algorithm using integer programming relaxation for privacy-preserving in utility mining;Applied Intelligence;2023-08-03

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