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Big Data Analytics in Telecommunications: Literature Review and Architecture Recommendations

Hira Zahid Tariq Mahmood Ahsan Morshed Timos Sellis

自动化学报(英文版)2020,Vol.7Issue(1):18-38,21.
自动化学报(英文版)2020,Vol.7Issue(1):18-38,21.DOI:10.1109/JAS.2019.1911795

Big Data Analytics in Telecommunications: Literature Review and Architecture Recommendations

Big Data Analytics in Telecommunications: Literature Review and Architecture Recommendations

Hira Zahid 1Tariq Mahmood 1Ahsan Morshed 2Timos Sellis3

作者信息

  • 1. Faculty of Computer Science, Institute of Business Administration, Karachi 75270, Pakistan
  • 2. School of Engineering and Technology, CQUniversity, Melbourne Victoria 3000, Australia
  • 3. Swinburne University of Technology, Hawthorn VIC 3122, Australia
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摘要

关键词

Big data analytics/BDA pipeline/BDA technology stack/lambda architecture/python/systematic literature review/telecommunications

Key words

Big data analytics/BDA pipeline/BDA technology stack/lambda architecture/python/systematic literature review/telecommunications

引用本文复制引用

Hira Zahid,Tariq Mahmood,Ahsan Morshed,Timos Sellis..Big Data Analytics in Telecommunications: Literature Review and Architecture Recommendations[J].自动化学报(英文版),2020,7(1):18-38,21.

基金项目

This work was supported in part by the Big Data Analytics Laboratory (BDA-LAB) at the Institute of Business Administration under the research grant approved by the Higher Education Commission of Pakistan (www.hec.gov.pk)and in part by the Darbi company (www.darbi.io). (BDA-LAB)

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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