A method for mining top-rank-k frequent closed itemsets-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A method for mining top-rank-k frequent closed itemsets

Published:2017-01-30 Issue:2 Volume:32 Page:1297-1305
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Nguyen Loan T.T.¹²,Trinh Truc³,Nguyen Ngoc-Thanh⁴,Vo Bay⁵

Affiliation:

1. Division of Knowledge and System Engineering for ICT, Ton Duc Thang University, Ho Chi Minh City, Vietnam

2. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

3. VOV College, Ho Chi Minh City, Vietnam

4. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wrocław, Poland

5. Faculty of Information Technology, Ho Chi Minh City University of Technology, Vietnam

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference42 articles.

1. Mining association rules between sets of items in large databases

2. An algorithm to mine general association rules from tabular data;Ayubi;Information Sciences,2009

3. Generalized association rule mining with constraints;Baralis;Information Sciences,2011

4. Fast mining top-rank-k frequent patterns by using Node-lists;Deng;Expert Systems with Applications,2014

Cited by 10 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. An Improving Approach for Top-Rank-k Frequent Pattern Mining;Vietnam Journal of Computer Science;2022-05-11

2. Apriori Algorithm for the Data Mining of Global Cyberspace Security Issues for Human Participatory Based on Association Rules;Frontiers in Psychology;2021-02-09

3. SAT‐based and CP‐based declarative approaches for Top‐Rank‐ K closed frequent itemset mining;International Journal of Intelligent Systems;2020-10-16

4. Mining top-rank-k frequent weighted itemsets using WN-list structures and an early pruning strategy;Knowledge-Based Systems;2020-08

5. Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases;Future Generation Computer Systems;2020-02

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

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