Anomaly Mining -- Past, Present and Future
It is a review paper summarizing existing work in anomaly mining for domains like cybersecurity and healthcare, making it incremental in nature.
The article provides a broad overview of point-cloud and graph-based anomaly mining, discussing research problems, recent trends, and future directions without presenting new experimental results or concrete numbers.
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.