Feature Selection Using Elephant Herd Principal Component Optimization Technique in Big Data Streams Using Internet of Things

IF 0.2 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of e-Collaboration Pub Date : 2022-01-01 DOI:10.4018/ijec.304041

N. GayathriDevi, K. Manikandan

引用次数: 0

查看原文本刊更多论文

基于象群主成分优化技术的物联网大数据流特征选择

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of e-Collaboration COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

1.90

自引率

5.90%

发文量

期刊介绍： The International Journal of e-Collaboration (IJeC) addresses the design and implementation of e-collaboration technologies, assesses its behavioral impact on individuals and groups, and presents theoretical considerations on links between the use of e-collaboration technologies and behavioral patterns. An innovative collection of the latest research findings, this journal covers significant topics such as Web-based chat tools, Web-based asynchronous conferencing tools, e-mail, listservs, collaborative writing tools, group decision support systems, teleconferencing suites, workflow automation systems, and document management technologies.