The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
RETRACTED ARTICLE: A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing
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Citations
Cites
Quantum Support Vector Machine for Big Data Classification
Rebentrost, P., Mohseni, M., & Lloyd, S. (2014) · Physical Review Letters · doi:10.1103/physrevlett.113.130503 · Cited by 1,951
Cited by
Manogaran, G., Varatharajan, R., Lopez, D., Kumar, P. M., Sundarasekar, R., & Thota, C. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.10.045 · Cited by 512
Self-citation
Metadata
- Authors
- Varatharajan, R., Manogaran, G., & Priyan, M. K.
- Venue
- Multimedia Tools and Applications
- Published
- 2017-11-13
- Volume
- 77
- Issue
- 8
- Pages
- 10195-10215
- ISSN
- 1380-7501 (ISSN-L)
- 1573-7721
- OpenAlex
- W2768799535
- Cited by
- 207
- References
- 1
- FWCI
- 17.03
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- closed
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: RETRACTED ARTICLE: A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing. https://app.cochat.ai/papers/10.1007/s11042-017-5318-1
- The paper
- Varatharajan, R., Manogaran, G., & Priyan, M. K. (2018). RETRACTED ARTICLE: A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-017-5318-1
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.
