Label-Aware Distributed Ensemble Learning: A Simplified Distributed Classifier Training Model for Big Data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Label-Aware Distributed Ensemble Learning: A Simplified Distributed Classifier Training Model for Big Data

Published:2019-03 Issue: Volume:15 Page:1-11
ISSN:2214-5796
Container-title:Big Data Research
language:en
Short-container-title:Big Data Research

Author:

Khalifa Shadi,Martin Patrick^ORCID,Young Rebecca

Funder

IBM Canada Centre for Advanced Studies

Ontario Research Fund

National Science and Engineering Research Council

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference27 articles.

1. MLI: an API for distributed machine learning;Sparks,2013

2. Hadoop: The Definitive Guide;White,2009

3. Spark: cluster computing with working sets;Zaharia,2010

4. A parallel distributed weka framework for big data mining using spark;Koliopoulos,2015

5. Do we need hundreds of classifiers to solve real world classification problems?;Fernández-Delgado;J. Mach. Learn. Res.,2014

Cited by 14 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. Non-MapReduce computing for intelligent big data analysis;Engineering Applications of Artificial Intelligence;2024-03

2. Distributed artificial intelligence: Taxonomy, review, framework, and reference architecture;Intelligent Systems with Applications;2023-05

3. What key contextual factors contribute to students’ reading literacy among top-performing countries and economies? Statistical and machine learning analyses;International Journal of Educational Research;2023

4. Leveraging the Training Data Partitioning to Improve Events Characterization in Intrusion Detection Systems;Journal of Advances in Information Technology;2023

5. Logo: A Novel Distributed Computing Framework for Big Data Analytics;2023

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