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Cited by 561

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Developing Vehicular Data Cloud Services in the IoT Environment

Wu He, Gongjun Yan, Li Da Xu·2014·IEEE Transactions on Industrial Informatics

Abstract

The advances in cloud computing and internet of things (IoT) have provided a promising opportunity to resolve the challenges caused by the increasing transportation issues. We present a novel multilayered vehicular data cloud platform by using cloud computing and IoT technologies. Two innovative vehicular data cloud services, an intelligent parking cloud service and a vehicular data mining cloud service, for vehicle warranty analysis in the IoT environment are also presented. Two modified data mining models for the vehicular data mining cloud service, a Naïve Bayes model and a Logistic Regression model, are presented in detail. Challenges and directions for future work are also provided.

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Metadata

Authors
He, W., Yan, G., & Xu, L. D.
Venue
IEEE Transactions on Industrial Informatics
Published
2014-05
Volume
10
Issue
2
Pages
1587-1595
ISSN
  • 1551-3203 (ISSN-L)
  • 1941-0050
OpenAlex
W1966836595
Cited by
561
References
1
FWCI
154.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Developing Vehicular Data Cloud Services in the IoT Environment. https://app.cochat.ai/papers/10.1109/tii.2014.2299233
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He, W., Yan, G., & Xu, L. D. (2014). Developing Vehicular Data Cloud Services in the IoT Environment. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2014.2299233

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.