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Datasets_12338.zip (2.04 GB)
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Dataset README template.txt (1.16 kB)
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README.txt (1.16 kB)
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KMASH Data Repository for outlier detection
Version 6 2021-08-17, 23:01
Version 5 2021-08-16, 00:19
Version 4 2019-02-12, 05:20
Version 3 2019-02-12, 05:15
Version 2 2019-02-12, 05:14
Version 1 2019-02-12, 05:03
dataset
posted on 2021-08-17, 23:01 authored by Sevvandi Kandanaarachchi, Mario Andres Munoz AcostaMario Andres Munoz Acosta, Kate Smith-MilesKate Smith-Miles, Rob J HyndmanRob J HyndmanThe 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
Find out more...Intruder alert! detecting and classifying events in noisy time series
Australian Research Council
Find out more...
