Research on prediction and recommendation of financial stocks based on K-means clustering algorithm optimization
Author:
Affiliation:
1. School of Economics and Management, Nanjing University of Science and Technology, Nanjing, Jiangsu, China
2. Department of Finance, National Dong Hwa University, Hualien, Taiwan
Abstract
Publisher
IOS Press
Subject
Computational Mathematics,Computer Science Applications,General Engineering
Reference19 articles.
1. Stock prediction using functional link artificial neural network (FLANN);Gupta;International Conference on Computational Intelligence and Networks. IEEE,2018
2. Mobile app for stock prediction using improved multiple linear regression;Izzah;International Conference on Sustainable Information Engineering and Technology. IEEE,2018
3. Survey of stock market prediction using machine learning approach;Sharma;Electronics, Communication and Aerospace Technology. IEEE,2017
4. B.S. Bini and T. Mathew, Clustering and regression techniques for stock prediction? Procedia Technology 24 (2016), 1248–1255.
5. Stock prediction by searching for similarities in candlestick charts;Tsai;Acm Transactions on Management Information Systems,2014
Cited by 7 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. Optimization of Engineering Financial Decision Based on Artificial Intelligence;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17
2. E-commerce recommender system based on improved K-means commodity information management model;Heliyon;2024-05
3. Portfolio Diversification with Clustering Techniques;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05
4. Stock market optimization amidst the COVID-19 pandemic: Technical analysis, K-means algorithm, and mean-variance model (TAKMV) approach;Heliyon;2023-07
5. Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06
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