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Discovering Characterizations of the Behavior of Anomalous Subpopulations.

, , and . IEEE Trans. Knowl. Data Eng., 25 (6): 1280-1292 (2013)

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Achieving Service Accountability Through Blockchain and Digital Identity., , , , and . CAiSE Forum, volume 317 of Lecture Notes in Business Information Processing, page 16-23. Springer, (2018)Principal Directions-Based Pivot Placement., and . SISAP, volume 8199 of Lecture Notes in Computer Science, page 85-90. Springer, (2013)DOLPHIN: An efficient algorithm for mining distance-based outliers in very large datasets., and . ACM Trans. Knowl. Discov. Data, 3 (1): 4:1-4:57 (2009)An Infrastructure for Service Accountability based on Digital Identity and Blockchain 3.0., , , , and . INFOCOM Workshops, page 632-637. IEEE, (2019)A Stochastic Block Model Based Approach to Detect Outliers in Networks., , and . DEXA (1), volume 12923 of Lecture Notes in Computer Science, page 149-154. Springer, (2021)Outlying property detection with numerical attributes., , , and . Data Min. Knowl. Discov., 31 (1): 134-163 (2017)Reconstruction Error-based Anomaly Detection with Few Outlying Examples., , and . CoRR, (2023)Mining sponge phenomena in RNA expression data., , , , and . J. Bioinform. Comput. Biol., 20 (1): 2150022:1-2150022:27 (2022)Indexing Uncertain Data in General Metric Spaces., and . IEEE Trans. Knowl. Data Eng., 24 (9): 1640-1657 (2012)L-SME: A System for Mining Loosely Structured Motifs., , and . ECML/PKDD (3), volume 6913 of Lecture Notes in Computer Science, page 621-625. Springer, (2011)