The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Applicability of Big Data Techniques to Smart Cities Deployments
Open accessAbstract
This paper presents the main foundations of big data applied to smart cities. A general Internet of Things based architecture is proposed to be applied to different smart cities applications. We describe two scenarios of big data analysis. One of them illustrates some services implemented in the smart campus of the University of Murcia. The second one is focused on a tram service scenario, where thousands of transit-card transactions should be processed. Results obtained from both scenarios show the potential of the applicability of this kind of techniques to provide profitable services of smart cities, such as the management of the energy consumption and comfort in smart buildings, and the detection of travel profiles in smart transport.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172
Cited by
Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework
Kumar, H., Singh, M. K., Gupta, M. P., & Madaan, J. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.04.024 · Cited by 530
Metadata
- Authors
- Moreno, M. V., Terroso-Saenz, F., Gonzalez-Vidal, A., Valdes-Vela, M., Skarmeta, A. F., Zamora, M. A., & Chang, V.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2017-04
- Volume
- 13
- Issue
- 2
- Pages
- 800-809
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2513641134
- Cited by
- 162
- References
- 1
- FWCI
- 24.13
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Applicability of Big Data Techniques to Smart Cities Deployments. https://app.cochat.ai/papers/10.1109/tii.2016.2605581
- The paper
- Moreno, M. V., Terroso-Saenz, F., Gonzalez-Vidal, A., Valdes-Vela, M., Skarmeta, A. F., Zamora, M. A., & Chang, V. (2017). Applicability of Big Data Techniques to Smart Cities Deployments. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2016.2605581
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
