An Unsupervised Approach to Anomaly Detection in Music Datasets.
Yen-Cheng Lu|Chih-Wei Wu|Chang-Tien Lu|Alexander Lerch
| Anthology ID: | DBLP:conf/sigir/LuWLL16 |
|---|---|
| Volume: | Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016 |
| Year: | 2016 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 749-752 |
| URL: | https://doi.org/10.1145/2911451.2914700 |
| DOI: | https://doi.org/10.1145/2911451.2914700 |
| DBLP: | conf/sigir/LuWLL16 |
| BibTeX: |
@inproceedings{lu-2016-unsupervised,
author = {Yen-Cheng Lu and
Chih-Wei Wu and
Chang-Tien Lu and
Alexander Lerch},
editor = {Raffaele Perego and
Fabrizio Sebastiani and
Javed A. Aslam and
Ian Ruthven and
Justin Zobel},
title = {{An Unsupervised Approach to Anomaly Detection in Music Datasets}},
booktitle = {{Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016}},
pages = {749--752},
publisher = {ACM},
year = {2016},
url = {https://doi.org/10.1145/2911451.2914700},
doi = {https://doi.org/10.1145/2911451.2914700}
}