The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
An Anomaly Detection Approach Based on Isolation Forest Algorithm for Streaming Data using Sliding Window
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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
Mining time-changing data streams
Hulten, G., Spencer, L., & Domingos, P. (2001) · Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/502512.502529 · Cited by 1,748
Discovering cluster-based local outliers
He, Z., Xu, X., & Deng, S. (2003) · Pattern Recognition Letters · doi:10.1016/s0167-8655(03)00003-5 · Cited by 1,055
Density-Based Clustering over an Evolving Data Stream with Noise
Cao, F., Estert, M., Qian, W., & Zhou, A. (2006) · Proceedings of the 2006 SIAM International Conference on Data Mining · doi:10.1137/1.9781611972764.29 · Cited by 1,016
Incremental Local Outlier Detection for Data Streams
Pokrajac, D., Lazarevic, A., & Latecki, L. J. (2007) · 2007 IEEE Symposium on Computational Intelligence and Data Mining · doi:10.1109/cidm.2007.368917 · Cited by 386
A unifying framework for detecting outliers and change points from non-stationary time series data
Yamanishi, K., & Takeuchi, J.-I. (2002) · Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/775047.775148 · Cited by 281
A unifying framework for detecting outliers and change points from time series
Takeuchi, J., & Yamanishi, K. (2006) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2006.1599387 · Cited by 257
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms
Yamanishi, K., Takeuchi, J.-I., Williams, G., & Milne, P. (2000) · Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/347090.347160 · Cited by 226
Fast anomaly detection for streaming data
Tan, S. C., Ting, K. M., & Liu, F. (2011) · FedUni ResearchOnline (Federation University Australia) · doi:10.5591/978-1-57735-516-8/ijcai11-254 · Cited by 199
Distributed deviation detection in sensor networks
Palpanas, T., Papadopoulos, D., Kalogeraki, V., & Gunopulos, D. (2003) · ACM SIGMOD Record · doi:10.1145/959060.959074 · Cited by 174
Cited by
Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices
Eskandari, M., Janjua, Z. H., Vecchio, M., & Antonelli, F. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2970501 · Cited by 428
Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest
Carletti, M., Terzi, M., & Susto, G. A. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2022.105730 · Cited by 118
Ahmadi‐Assalemi, G., Al‐Khateeb, H., Benson, V., Adamyk, B., & Ammi, M. (2025) · IET Cyber-Physical Systems: Theory & Applications · doi:10.1049/cps2.70004 · Cited by 10
Quality control of hourly rain gauge data based on radar and satellite multi-source data
Yan, Q., Zhang, B., Jiang, Y., Liu, Y., Yang, B., & Wang, H. (2024) · Journal of Hydroinformatics · doi:10.2166/hydro.2024.272 · Cited by 8
Metadata
- Authors
- Ding, Z., & Fei, M.
- Venue
- IFAC Proceedings Volumes
- Publisher
- Elsevier BV
- Published
- 2013
- Volume
- 46
- Issue
- 20
- Pages
- 12-17
- ISSN
- 1474-6670 (ISSN-L)
- OpenAlex
- W1970978220
- Cited by
- 321
- References
- 16
- FWCI
- 0.43
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: An Anomaly Detection Approach Based on Isolation Forest Algorithm for Streaming Data using Sliding Window. https://app.cochat.ai/papers/10.3182/20130902-3-cn-3020.00044
- The paper
- Ding, Z., & Fei, M. (2013). An Anomaly Detection Approach Based on Isolation Forest Algorithm for Streaming Data using Sliding Window. IFAC Proceedings Volumes. https://doi.org/10.3182/20130902-3-cn-3020.00044
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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.
