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A Near-Linear Time Subspace Search Scheme for Unsupervised Selection of Correlated Features.

, , and . Big Data Res., (2014)

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Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds., , , and . PAKDD (2), volume 10938 of Lecture Notes in Computer Science, page 458-470. Springer, (2018)Framework for Exploring and Understanding Multivariate Correlations., , , , , , , , and . ECML/PKDD (3), volume 10536 of Lecture Notes in Computer Science, page 404-408. Springer, (2017)FREDE: Linear-Space Anytime Graph Embeddings., , , , , and . CoRR, (2020)Deep One-Class Classification, , , , , , , and . Proceedings of the 35th International Conference on Machine Learning, volume 80 of Proceedings of Machine Learning Research, page 4393--4402. Stockholmsmässan, Stockholm Sweden, PMLR, (10--15 Jul 2018)Subspace Clustering für die Analyse von CGH Daten.. BTW Studierendenprogramm, page 31-33. International University, Bruchsal, Germany, (2007)Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification., , , and . DS, volume 11198 of Lecture Notes in Computer Science, page 224-240. Springer, (2018)Quality Guarantees for Autoencoders via Unsupervised Adversarial Attacks., , , and . ECML/PKDD (2), volume 12458 of Lecture Notes in Computer Science, page 206-222. Springer, (2020)Semi-Automated Exploration of Data Warehouses., , and . CIKM, page 1321-1330. ACM, (2015)Reconstruction-based unsupervised drift detection over multivariate streaming data., , and . ICDM (Workshops), page 807-813. IEEE, (2022)Keynote abstract: Subspace search for community detection and community outlier mining in attributed graphs.. SMAP, page xvii. IEEE Computer Society, (2015)