The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
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Citations
Cites
LOF: identifying density-based local outliers
Breunig, M. M., Kriegel, H.-P., Ng, R. T., & Sander, J. (2000) · ACM SIGMOD Record · doi:10.1145/335191.335388 · Cited by 5,207
LOF: identifying density-based local outliers
Breunig, M. M., Kriegel, H.-P., Ng, R. T., & Sander, J. (2000) · Proceedings of the 2000 ACM SIGMOD international conference on Management of data · doi:10.1145/342009.335388 · Cited by 4,149
Hawkins, D. M. (1980) · doi:10.1007/978-94-015-3994-4 · Cited by 2,982
Cited by
Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection
Campello, R. J. G. B., Moulavi, D., Zimek, A., & Sander, J. (2015) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/2733381 · Cited by 915
A survey on unsupervised outlier detection in high‐dimensional numerical data
Zimek, A., Schubert, E., & Kriegel, H. (2012) · Statistical Analysis and Data Mining The ASA Data Science Journal · doi:10.1002/sam.11161 · Cited by 864
Progress in Outlier Detection Techniques: A Survey
Wang, H., Bah, M. J., & Hammad, M. (2019) · IEEE Access · doi:10.1109/access.2019.2932769 · Cited by 523
An incorrect data detection method for big data cleaning of machinery condition monitoring
Xu, X., Lei, Y., & Li, Z. (2020) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2903774 · Cited by 134
A survey on outlier explanations
Panjei, E., Gruenwald, L., Leal, E., Nguyen, C., & Silvia, S. (2022) · The VLDB Journal · doi:10.1007/s00778-021-00721-1 · Cited by 67
Metadata
- Authors
- Zhang, K., Hutter, M., & Jin, H.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2009
- Pages
- 813-822
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2117839996
- Cited by
- 392
- References
- 3
- FWCI
- 8.93
- Type
- conference paper
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. https://app.cochat.ai/papers/10.1007/978-3-642-01307-2_84
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- Zhang, K., Hutter, M., & Jin, H. (2009). A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-01307-2_84
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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.
