An Anomaly Detection Approach Based on Isolation Forest Algorithm for Streaming Data using Sliding Window
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Angiulli, 2009, An efficient algorithm for mining distance-based outlier in very large datasets, ACM-TKDD, 3
Bruning, M.M., Kriegel, H.P., Ng, R.T., Sander, J. (2008). LOF: Identifying density-based local outliers. In: Proc. SIGMOD.
Cao, 2006, Density-based clustering over an evolving data stream with noise, 328
Pokrajac, 2007, Incremental local outlier detection for data streams, 504
Palshikar, 2005, Distance-Based Outliers in Sequences, Lecture Notes in Computer Science Volume, 3816, 547, 10.1007/11604655_61
G. Hulten, L. Spencer, and P. Domingos. (2001). Mining time changing data streams. In Proceedings of the 7th ACM SIGKDD.
He, 2003, Discovering cluster-based local outliers, Pattern Recognition Letters, 24, 1641, 10.1016/S0167-8655(03)00003-5
Kavitha, 2012, Massive stream data processing to attain anomaly Intrusion Prevention Devices, Circuits and Systems, In 2012 ICDCS, 572
Yamanishi, 2006, A unifying framework for detecting outliers and change points from non-stationary time series data, Knowledge and Data Enginnering, 18, 482, 10.1109/TKDE.2006.1599387
Yamanishi, 2000, On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms, In Proceeding of the sixth ACM SIGKDD International conference on Knowledge discovery and data mining, 320, 10.1145/347090.347160
Burbeck, 2007, Anomaly Detection With fast Incremental Clustering, Information Security Tech. Report, 12, 56, 10.1016/j.istr.2007.02.004
Liu, 2008, Isolation forests, In Proceedings of International Conference on Data Mining, 413
Davy, 2005, An online support vector machine for abnormal events detection, Signal Processing, 86, 2009, 10.1016/j.sigpro.2005.09.027
dos Santos Teixeira, 2010, Data stream anomaly detection through principal subspace tracking
Saha Budhaditya, Duc-Son Pham, Mihai Lazarescu, Svetha Venkatesh. (2009). Effective Anomaly Detection in Sensor Networks Data Streams, In Proceedings of the 2009 Ninth IEEE International Conference on Data Mining, December 06–09, 722–727.
Subramaniam, 2006, Online outlier detection in sensor data using non-parametric models, 187
Palpanas, 2003, Distributed deviation detection in sensor networks, ACM SPECIAL ISSUE: Special section on sensor network technology and sensor data management, 32, 77
Tan, 2011, Fast Anomaly Detection for Streaming Data [C], In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, 1511
Yu, 2009, Anomaly Intrusion Detection for Evolving Data Stream Based on Semi-supervised Learning, Advances in Neuro-Information Processing, Lecture Notes in Computer Science, Volume 5506, 571, 10.1007/978-3-642-02490-0_70
Zhou J.L., Fu Y., Wu Y. and Other. (2009). Anomaly detection over concept drifting data streams. Journal of Computational Information Systems v. 5(6), 1697–1703.