An efficient strategy for mining high-efficiency itemsets in quantitative databases-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An efficient strategy for mining high-efficiency itemsets in quantitative databases

Published:2024-09 Issue: Volume:299 Page:112035
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Huynh Bao^ORCID,Tung N.T.^ORCID,Nguyen Trinh D.D.,Bui Quang-Thinh^ORCID,Nguyen Loan T.T.^ORCID,Yun Unil,Vo Bay^ORCID

Publisher

Elsevier BV

Reference53 articles.

1. Frequent itemset mining: a 25 years review;Luna;Wiley. Interdiscip. Rev. Data Min. Knowl. Discov.,2019

2. A foundational approach to mining itemset utilities from databases;Yao,2004

3. A two-phase algorithm for fast discovery of high utility itemsets;Liu,2005

4. Mining high utility itemsets without candidate generation;Liu,2012

5. FHM: faster high-utility itemset mining using estimated utility co-occurrence pruning;Fournier-Viger,2014

同舟云学术

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