The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Detection of Outliers Using Interquartile Range Technique from Intrusion Dataset
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Citations
Cites
Anomaly Based Network Intrusion Detection with Unsupervised Outlier Detection
Zhang, J., & Zulkernine, M. (2006) · 2006 IEEE International Conference on Communications · doi:10.1109/icc.2006.255127 · Cited by 256
Intrusion Detection System (IDS): Anomaly Detection Using Outlier Detection Approach
Jabez, J., & Muthukumar, B. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.04.191 · Cited by 220
Cited by
Is taurine an aging biomarker?
Fernandez, M. E., Bernier, M., Price, N. L., Camandola, S., Aon, M. A., Vaughan, K., Mattison, J. A., Preston, J. D., Jones, D. P., Tanaka, T., et al. (2025) · Science · doi:10.1126/science.adl2116 · Cited by 33
Pereira, F. D., Rodrigues, L., Henklain, M. H. O., Freitas, H., Oliveira, D. F., Cristea, A. I., Carvalho, L., Isotani, S., Benedict, A., Dorodchi, M., et al. (2023) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2022.3224121 · Cited by 26
Metadata
- Authors
- Vinutha, H. P., Poornima, B., & Sagar, B. M.
- Venue
- Advances in Intelligent Systems and Computing
- Publisher
- Springer Singapore
- Published
- 2018
- Pages
- 511-518
- ISSN
- 2194-5357 (ISSN-L)
- 2194-5365
- OpenAlex
- W2796878504
- Cited by
- 386
- References
- 2
- FWCI
- 22.75
- Type
- book chapter
- Language
- en
- 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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- CoChat. (2026). Citation check: Detection of Outliers Using Interquartile Range Technique from Intrusion Dataset. https://app.cochat.ai/papers/10.1007/978-981-10-7563-6_53
- The paper
- Vinutha, H. P., Poornima, B., & Sagar, B. M. (2018). Detection of Outliers Using Interquartile Range Technique from Intrusion Dataset. Advances in Intelligent Systems and Computing. https://doi.org/10.1007/978-981-10-7563-6_53
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.
