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Deep Multi-sphere Support Vector Data Description.

, and . SDM, page 109-117. SIAM, (2020)The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume..

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Online K-Means Clustering with Lightweight Coresets., , and . Australasian Conference on Artificial Intelligence, volume 11919 of Lecture Notes in Computer Science, page 191-202. Springer, (2019)Change Point Detection for Streaming High-Dimensional Time Series., , , , and . DASFAA (3), volume 11448 of Lecture Notes in Computer Science, page 515-519. Springer, (2019)Deep Multi-sphere Support Vector Data Description., and . SDM, page 109-117. SIAM, (2020)The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume..Seeding on Samples for Accelerating K-Means Clustering., , , and . BDIOT, page 41-45. ACM, (2019)Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM., , , , and . IJCNN, page 2476-2483. IEEE, (2016)Unsupervised online change point detection in high-dimensional time series, , , , , , and . Knowl. Inf. Syst., 62 (2): 719--750 (2020)Unsupervised and Active Learning Using Maximin-Based Anomaly Detection., , , and . ECML/PKDD (1), volume 11906 of Lecture Notes in Computer Science, page 90-106. Springer, (2019)Unsupervised Parameter Estimation for One-Class Support Vector Machines., , , , and . PAKDD (2), volume 9652 of Lecture Notes in Computer Science, page 183-195. Springer, (2016)Approximating Dunn's Cluster Validity Indices for Partitions of Big Data., , , , and . IEEE Trans. Cybern., 49 (5): 1629-1641 (2019)Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability., , , , , , and . ECML/PKDD (3), volume 11053 of Lecture Notes in Computer Science, page 553-568. Springer, (2018)