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KMASH Data Repository for outlier detection

dataset
posted on 17.08.2021, 23:01 by Sevvandi KandanaarachchiSevvandi Kandanaarachchi, Mario Andres Munoz AcostaMario Andres Munoz Acosta, Kate Smith-MilesKate Smith-Miles, Rob HyndmanRob Hyndman
The zip files contains 12338 datasets for outlier detection investigated in the following papers:

(1) Instance space analysis for unsupervised outlier detection
Authors : Sevvandi Kandanaarachchi, Mario A. Munoz, Kate Smith-Miles

(2) On normalization and algorithm selection for unsupervised outlier detection
Authors : Sevvandi Kandanaarachchi, Mario A. Munoz, Rob J. Hyndman, Kate Smith-Miles

Some of these datasets were originally discussed in the paper:

On the evaluation of unsupervised outlier detection:measures, datasets and an empirical study
Authors : G. O. Campos, A, Zimek, J. Sander, R. J.G.B. Campello, B. Micenkova, E. Schubert, I. Assent, M.E. Houle.




Funding

Stress-testing algorithms: generating new test instances to elicit insights

Australian Research Council

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Intruder alert! detecting and classifying events in noisy time series

Australian Research Council

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