FHUQI-Miner: Fast high utility quantitative itemset mining
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02204-w.pdf
Reference37 articles.
1. Ahmed CF, Tanbeer SK, Jeong BS (2010) A novel approach for mining high-utility sequential patterns in sequence databases. ETRI J 32(5):676–686
2. Aryabarzan N, Minaei-Bidgoli B (2018) Teshnehlab, M.: negfin: An efficient algorithm for fast mining frequent itemsets. Expert Syst Appl 105:129–143
3. Chan R, Yang Q, Shen YD (2003) Mining high utility itemsets. In: Proceedings of the 3rd IEEE international conference on data mining. IEEE computer society, pp 19–19
4. Dinh DT, Le B, Fournier-Viger P, Huynh VN (2018) An efficient algorithm for mining periodic high-utility sequential patterns. Appl Intell 48(12):4694–4714
5. Duong QH, Fournier-Viger P, Ramampiaro H, Nørvåg K., Dam TL (2018) Efficient high utility itemset mining using buffered utility-lists. Appl Intell 48(7):1859–1877
Cited by 20 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. Constraint-based high utility mobile trajectory pattern mining for security systems;Journal of Intelligent & Fuzzy Systems;2023-12-15
2. Mining periodic high-utility itemsets with both positive and negative utilities;Engineering Applications of Artificial Intelligence;2023-08
3. VLSD—An Efficient Subgroup Discovery Algorithm Based on Equivalence Classes and Optimistic Estimate;Algorithms;2023-05-29
4. HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases;Applied Intelligence;2023-03-11
5. Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets;Advances in Computational Collective Intelligence;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3