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IBRIDIA: A hybrid solution for processing big logistics data

  • Published:2019-08 Issue: Volume:97 Page:792-804
  • ISSN:0167-739X
  • Container-title:Future Generation Computer Systems
  • language:en
  • Short-container-title:Future Generation Computer Systems

Author:

AlShaer Mohammed,Taher Yehia,Haque Rafiqul,Hacid Mohand-Saïd,Dbouk Mohamed

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference46 articles.

1. Iot in the supply chain - inbound logistics;Braun,2016

2. Internet of things in logistics;Macaulay,2015

3. Prolod: An efficient framework for processing logistics data;AlShaer,2017

4. Realtime analysis of information diffusion in social media;Taxidou;Proc. VLDB Endow.,2013

5. Integrating heterogeneous data;Nieva,2016

Cited by 8 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. Context-aware Big Data Quality Assessment: A Scoping Review;Journal of Data and Information Quality;2023-08-22

2. A Predictive Analytics Framework Using Machine Learning for the Logistics Industry;International Conference on Computer Systems and Technologies 2022;2022-06-17

3. Big data analytics in supply chain management: a systematic literature review;VINE Journal of Information and Knowledge Management Systems;2022-03-28

4. Special Issue on Fog and Cloud Computing for Cooperative Information System Management: Challenges and Opportunities;Future Generation Computer Systems;2020-08

5. Development and application of the Activity-BAsed Traveler Analyzer (ABATA) system;Future Generation Computer Systems;2020-05
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