High utility itemset mining using dolphin echolocation optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02571-1.pdf
Reference22 articles.
1. Chiclana F, Kumar R, Mittal M, Khari M, Chatterjee JM, Baik SW (2018) ARM–AMO: an efficient association rule mining algorithm based on animal migration optimization. Knowl Based Syst 154:68–80. https://doi.org/10.1016/j.knosys.2018.04.038
2. Deepa R, Vaishnavi S (2018) A survey on data mining methods and its applications. Int J Adv Eng Res Dev 5(1):463–467
3. Djenouri Y, Comuzzi M (2017) Combining Apriori heuristic and bio-inspired algorithms for solving the frequent itemsets mining problem. Inf Sci 420:1–15. https://doi.org/10.1016/j.ins.2017.08.043
4. Hussain RI, Srivatsa SK (2014) A study of different association rule mining techniques. Int J Comput Appl 108(16):10–15
5. Kannimuthu S, Premalatha K (2014) Discovery of high utility itemsets using genetic algorithm with ranked mutation. J Appl Artif Intell 28(4):337–359. https://doi.org/10.1080/08839514.2014.891839
Cited by 8 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. Effective approaches for mining correlated and low-average-cost patterns;Knowledge-Based Systems;2024-10
2. TKU-BChOA: an accurate meta-heuristic method to mine Top-k high utility itemsets;The Journal of Supercomputing;2024-06-07
3. High utility itemsets mining based on hybrid harris hawk optimization and beluga whale optimization algorithms;Journal of Intelligent & Fuzzy Systems;2024-04-18
4. MRI-CE: Minimal rare itemset discovery using the cross-entropy method;Information Sciences;2024-04
5. A Survey on Using Evolutionary Approaches-Based High-Utility Itemsets Mining;Communications in Computer and Information Science;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