PyODDS: An End-to-End Outlier Detection System
Machine Learning
2019-10-14 v2 Databases
Machine Learning
Abstract
PyODDS is an end-to end Python system for outlier detection with database support. PyODDS provides outlier detection algorithms which meet the demands for users in different fields, w/wo data science or machine learning background. PyODDS gives the ability to execute machine learning algorithms in-database without moving data out of the database server or over the network. It also provides access to a wide range of outlier detection algorithms, including statistical analysis and more recent deep learning based approaches. PyODDS is released under the MIT open-source license, and currently available at (https://github.com/datamllab/pyodds) with official documentations at (https://pyodds.github.io/).
Keywords
Cite
@article{arxiv.1910.02575,
title = {PyODDS: An End-to-End Outlier Detection System},
author = {Yuening Li and Daochen Zha and Na Zou and Xia Hu},
journal= {arXiv preprint arXiv:1910.02575},
year = {2019}
}
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6 Pages, 2 Figures