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ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

, , and . Data Mining and Knowledge Discovery, 34 (5): 1454--1495 (Sep 1, 2020)
DOI: 10.1007/s10618-020-00701-z

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The Need for Low Bias Algorithms in Classification Learning from Large Data Sets., and . PKDD, volume 2431 of Lecture Notes in Computer Science, page 62-73. Springer, (2002)Classification Learning Using All Rules., and . ECML, volume 1398 of Lecture Notes in Computer Science, page 149-159. Springer, (1998)Further Pruning for Efficient Association Rule Discovery., and . Australian Joint Conference on Artificial Intelligence, volume 2256 of Lecture Notes in Computer Science, page 605-618. Springer, (2001)OPUS: An Efficient Admissible Algorithm for Unordered Search.. Journal of Artificial Intelligence Research, 3 (1): 431--465 (1995)Finding the Real Patterns.. PAKDD, volume 4426 of Lecture Notes in Computer Science, page 6. Springer, (2007)Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers., and . PAKDD, volume 2637 of Lecture Notes in Computer Science, page 501-512. Springer, (2003)A New Restricted Bayesian Network Classifier., , , and . PAKDD, volume 2637 of Lecture Notes in Computer Science, page 265-270. Springer, (2003)A Heuristic Lazy Bayesian Rule Algorithm., and . AusDM, page 57-64. University of Technology Sydney, Australia, (2002)MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification, , , and . (2021)cite arxiv:2102.00457.ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels, , and . (2019)cite arxiv:1910.13051Comment: 27 pages, 23 figures.