Analytics Service Oriented Architecture for Enterprise Information Systems

Author:

Sun Zhaohao1,Strang Kenneth D.2,Yearwood John3

Affiliation:

1. Department of Business Studies, PNG University of Technology, Lae, PNG & School of Engineering and IT, Federation University Australia, Phone: +61-3-53279232

2. School of Business & Economics, State University of New York, Plattsburgh at Queensbury, NY 12804, USA, Phone: +1-518-792-5425

3. School of Engineering and Information Technology, Federation University Australia, Mt Helen, Ballarat, VIC 3353, Australia, Phone: +61-3-53279253

Publisher

ACM

Reference43 articles.

1. Beal V. 2014. Big data analytics. Retrieved 20 August 2014 from http://www.webopedia.com/TERM/B/big_data_analytics.html. Beal V. 2014. Big data analytics. Retrieved 20 August 2014 from http://www.webopedia.com/TERM/B/big_data_analytics.html.

2. Betser J. and Belanger D. 2013. Architecting the enterprise with big data analytics. In Big Data and Business Analytics J. Liebowitz Ed. CRC Press Boca Raton FL 1--20. Betser J. and Belanger D. 2013. Architecting the enterprise with big data analytics. In Big Data and Business Analytics J. Liebowitz Ed. CRC Press Boca Raton FL 1--20.

Cited by 21 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. Development of Web-based Management System for Fingerlings Distribution and Survival Rate Monitoring;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19

2. The Impact of Big Data Analytics on Business Intelligence in E-Commerce: A Review;Asian Journal of Electrical and Electronic Engineering;2023-09-30

3. Data Space Best Practices for Data Interoperability in FinTechs;Data Spaces;2022

4. Integrating Blockchain Platforms With Big Data Solutions for Regional Innovation Development;Research Anthology on Big Data Analytics, Architectures, and Applications;2022

5. Importance of Big Data and Hadoop in E-Servicing;Research Anthology on Big Data Analytics, Architectures, and Applications;2022

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