Association rule generation and classification with fuzzy influence rule based on information mass value
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02280-9.pdf
Reference18 articles.
1. Abaya SA (2012) Association rule mining based on apriori algorithm in minimizing candidate generation. IJSER 3(7):1–4
2. Ansarullah SI (2016) Heart disease prediction system using data mining techniques. Int Res J Eng Technol (IRJET) 56(3):109–113
3. Bose S, Datta S (2015) Frequent pattern generation in association rule mining using weighted support. In: IEEE conference on computer, communication, control and information technology (C3IT)
4. Kavakiotis I, Tzanis G, Vlahavas I (2014) Mining frequent patterns and association rules from biological data. In: Biological knowledge discovery handbook: preprocessing, mining and postprocessing of biological data, chap 34. Bioinformatics: computational techniques and engineering
5. Kavakiotisa I (2017) Machine learning and data mining methods in diabetes research. J Comput Struct Biotechnol 15:104–116
Cited by 57 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. Flower pollination student psychology optimization-integrated context deep learning and probabilistic-based fusion for image inpainting;International Journal of Wavelets, Multiresolution and Information Processing;2023-01-09
2. Higher classification accuracy of income class using logistic regression algorithm over naive bayes algorithm;AIP Conference Proceedings;2023
3. Innovative brain tumor detection in cerebrum to improve detection rate using convolutional neural network in comparison with artificial neural network;AIP Conference Proceedings;2023
4. Comparative analysis of detection rate in real time novel facial recognition system using histogram oriented gradients algorithm with Viola Jones algorithm;AIP Conference Proceedings;2023
5. An efficient framework for improving accuracy in sports analysis using logistic regression algorithm compared with naive bayes algorithm;AIP Conference Proceedings;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