An efficient approach for incremental erasable utility pattern mining from non-binary data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An efficient approach for incremental erasable utility pattern mining from non-binary data

Published:2024-08-04 Issue: Volume: Page:
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Baek Yoonji,Kim Hanju,Cho Myungha,Kim Hyeonmo,Lee Chanhee,Ryu Taewoong,Kim Heonho,Vo Bay,Gan Vincent W.,Fournier-Viger Philippe,Lin Jerry Chun-Wei,Pedrycz Witold,Yun Unil

Funder

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10115-024-02185-5.pdf

Reference45 articles.

1. Ahmed CF, Tanbeer SK, Jeong B, Lee Y (2009) Efficient tree structures for high utility pattern mining in incremental databases. IEEE Trans Knowl Data Eng 21(12):1708–1721

2. Baek Y, Yun U, Kim H, Nam H, Lee G, Yoon E, Vo B, Lin JC-W (2020) Erasable pattern mining based on tree structures with damped window over data streams. Eng Appl Artif Intell 94:103735

3. Baek Y, Yun U, Lin JC-W, Yoon E, Fujita H (2020) Efficiently mining erasable stream patterns for intelligent systems over uncertain data. Int J Intell Syst 35(11):1699–1734

4. Choi H-J, Park CH (2019) Emerging topic detection in twitter stream based on high utility pattern mining. Expert Syst Appl 115:27–36

5. Deng Z-H and Xu X (2010) An efficient algorithm for mining erasable itemsets. Advanced data mining and applications: 6th International Conference, vol. 1, pp. 214-225

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