Using Big Data and Real-Time Analytics to Support Smart City Initiatives-Reference-Cited by-同舟云学术

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Using Big Data and Real-Time Analytics to Support Smart City Initiatives

Published:2016 Issue:30 Volume:49 Page:257-262
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Souza Arthur,Figueredo Mickael,Cacho Nélio,Araújo Daniel,Prolo Carlos A.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference24 articles.

1. ABIH-RN (2014). Turista na copa em natal. Availabe at http://tinyurl.com/jabtme2.

2. Extracting city traffic events from social streams;Anantharam;ACM Trans. Intell. Syst. Technol.,2015

3. Apache, S.F. (2015a). Apache storm. Availabe at https://storm.apache.org/.

4. Apache, S.F. (2015b). Apache storm. Availabe at https://storm.apache.org/.

5. Modeling performance of a parallel streaming engine: bridging theory and costs;Bedini,2013

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1. Real Time Twitter Analytics with Apache Storm;2023 IEEE Fifth International Conference on Advances in Electronics, Computers and Communications (ICAECC);2023-09-07

2. Unveiling the Smart City: How Smart Is It?;Revising Smart Cities with Regenerative Design;2023

3. A Reference Architecture for IoT-Enabled Smart Buildings;SN Computer Science;2022-09-27

4. Data-Driven Decisions in Smart Cities: A Digital Transformation Case Study;Applied Sciences;2022-02-08

5. Smart Healthcare Support Using Data Mining and Machine Learning;IoT and WSN based Smart Cities: A Machine Learning Perspective;2022

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