Anomaly Mining -- Past, Present and Future
Machine Learning
2021-06-01 v2 Social and Information Networks
Abstract
Anomaly mining is an important problem that finds numerous applications in various real world domains such as environmental monitoring, cybersecurity, finance, healthcare and medicine, to name a few. In this article, I focus on two areas, (1) point-cloud and (2) graph-based anomaly mining. I aim to present a broad view of each area, and discuss classes of main research problems, recent trends and future directions. I conclude with key take-aways and overarching open problems.
Cite
@article{arxiv.2105.10077,
title = {Anomaly Mining -- Past, Present and Future},
author = {Leman Akoglu},
journal= {arXiv preprint arXiv:2105.10077},
year = {2021}
}
Comments
6 pages