LGSTDec 27, 2022

Challenges in anomaly and change point detection

arXiv:2212.13520v1h-index: 19
Originality Synthesis-oriented
AI Analysis

It serves as an introductory resource for researchers or practitioners seeking to understand the current landscape in anomaly and change-point detection, but it is incremental as it primarily reviews existing literature.

This paper provides an overview of state-of-the-art methods in anomaly and change-point detection, introducing key concepts and highlighting important surveys, books, and active research topics in the field.

This paper presents an introduction to the state-of-the-art in anomaly and change-point detection. On the one hand, the main concepts needed to understand the vast scientific literature on those subjects are introduced. On the other, a selection of important surveys and books, as well as two selected active research topics in the field, are presented.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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