Data

KMASH Data Repository for outlier detection

RMIT University, Australia
Kate Smith-Miles (Aggregated by) Mario Andres Munoz Acosta (Aggregated by) Mario Munoz Acosta (Aggregated by) Rob Hyndman (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/5c6253c0b3323&rft.title=KMASH Data Repository for outlier detection&rft.identifier=https://doi.org/10.26180/5c6253c0b3323&rft.publisher=RMIT University, Australia&rft.description=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-MilesSome of these datasets were originally discussed in the paper: On the evaluation of unsupervised outlier detection:measures, datasets and an empirical studyAuthors : G. O. Campos, A, Zimek, J. Sander, R. J.G.B. Campello, B. Micenkova, E. Schubert, I. Assent, M.E. Houle. &rft.creator=Kate Smith-Miles&rft.creator=Kate Smith-Miles&rft.creator=Mario Andres Munoz Acosta&rft.creator=Mario Munoz Acosta&rft.creator=Rob Hyndman&rft.creator=Rob Hyndman&rft.creator=Sevvandi Kandanaarachchi&rft.creator=Sevvandi Kandanaarachchi&rft.date=2023&rft_rights=CC-BY-4.0&rft_subject=outlier detection methods&rft_subject=anomaly detection framework&rft_subject=Statistics&rft_subject=Statistics not elsewhere classified&rft.type=dataset&rft.language=English Access the data
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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.




Issued: 2019-02-12

Created: 2021-08-17

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Statistics | Statistics not elsewhere classified | anomaly detection framework | outlier detection methods |

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