Outlier Detection Based on the Distribution of Distances between Data Points

An Efficient Data-Driven Clustering Technique to Detect Attacks in SCADA Systems

Abdulmohsen Almalawi, Adil Fahad, Zahir Tari, Abdullah Alamri, Rayed AlGhamdi, Albert Y. Zomaya

Journal IEEE Transactions on Information Forensics and Security Volume 11, Issue 5 (2016), p. 893

An unsupervised anomaly-based detection approach for integrity attacks on SCADA systems

Abdulmohsen Almalawi, Xinghuo Yu, Zahir Tari, Adil Fahad, Ibrahim Khalil

Journal Computers & Security Volume 46 (2014), p. 94

Data Clustering Based on Maximization of Outlier Factor

Vydunas Saltenis

Journal Journal of Global Optimization Volume 35, Issue 4 (2006), p. 625

Managing variability in the summary and comparison of gait data

Tom Chau, Scott Young, Sue Redekop

Journal Journal of NeuroEngineering and Rehabilitation Volume 2, Issue 1 (2005)

Monte Carlo method for identification of outlier molecules in QSAR studies

Tarko Laszlo

Journal Journal of Mathematical Chemistry Volume 47, Issue 1 (2010), p. 174

Novel criteria for elimination of the outliers in QSPR studies, when the ‘forward stepwise’ procedure is used

Laszlo Tarko

Journal Journal of Mathematical Chemistry Volume 57, Issue 7 (2019), p. 1770

REFERENCES

https://doi.org/10.1002/9781119606383.refs

Book (2021), p. 185

Statistical evaluation of spectral methods for anomaly detection in static networks

Tomilayo Komolafe, A. Valeria Quevedo, Srijan Sengupta, William H. Woodall

Journal Network Science Volume 7, Issue 3 (2019), p. 319

Surprise Detection in Multivariate Astronomical Data

Kirk D. Borne, Arun Vedachalam

Book Lecture Notes in Statistics (Statistical Challenges in Modern Astronomy V) Volume 902 (2012), p. 275

Teleophthalmology in Lithuania

Alvydas Paunksnis, Valerijus Barzdžiukas, Skaidra Kurapkienė

Book (2006), p. 167