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A method to detect data outliers from smart urban spaces via tensor analysis

  • Published:2019-03 Issue: Volume:92 Page:290-301
  • ISSN:0167-739X
  • Container-title:Future Generation Computer Systems
  • language:en
  • Short-container-title:Future Generation Computer Systems

Author:

Souza Thiago I.A.ORCID,Aquino Andre L.L.,Gomes Danielo G.ORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES), Brazil

CNPq, Brazil

FAPESP

FAPEAL

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference45 articles.

1. Cities as agents of global change;Mills;Int. J. Climatol.,2007

2. An edge-based platform for dynamic smart city applications;Cicirelli;Future Gener. Comput. Syst.,2017

3. Security and privacy in smart city applications: Challenges and solutions;Zhang;IEEE Commun. Mag.,2017

4. Smart urban planning using big data analytics to contend with the interoperability in internet of things;Babar;Knowl.-Based Syst.,2017

5. Urban planning and building smart cities based on the internet of things using big data analytics;Rathore;Knowl.-Based Syst.,2016
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