Dive into Time-Series Anomaly Detection: A Decade Review
2024/12/29 by Paul Boniol, Qinghua Liu, Boniol, Paul +7 · 16 voices · 5 citations
Computer Science · #Anomaly Detection Techniques and Applications #Network Security and Intrusion Detection #Time Series Analysis and Forecasting
paper · pdf · doi:10.48550/arxiv.2412.20512
Abstract
Recent advances in data collection technology, accompanied by the ever-rising volume and velocity of streaming data, underscore the vital need for time series analytics. In this regard, time-series anomaly detection has been an important activity, entailing various applications in fields such as cyber security, financial markets, law enforcement, and health care. While traditional literature on anomaly detection is centered on statistical measures, the increasing number of machine learning algorithms in recent years call for a structured, general characterization of the research methods for time-series anomaly detection. This survey groups and summarizes anomaly detection existing solutions under a process-centric taxonomy in the time series context. In addition to giving an original categorization of anomaly detection methods, we also perform a meta-analysis of the literature and outline general trends in time-series anomaly detection research.
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Discussions
- Dive into Time-Series Anomaly Detection: A Decade Review https://arxiv.org/abs/2412.20512 [bsky, 9 points, 0 comments]
- 🚀 Time-series anomaly detection is evolving! This new paper reviews a decade of research and introduces a new taxonomy to categorize methods. Discover the shift from traditional to machine learning [bsky, 2 points, 0 comments]
- paper: arxiv.org/abs/2412.20512 [bsky, 1 points, 0 comments]
- Dive into Time-Series Anomaly Detection: A Decade Review view on hacker news [bsky, 1 points, 0 comments]
- Dive into Time-Series Anomaly Detection: A Decade Review [bsky, 0 points, 0 comments]
- Dive into Time-Series Anomaly Detection: A Decade Review #HackerNews arxiv.org/abs/... [bsky, 0 points, 0 comments]
- Dive into Time-Series Anomaly Detection: A Decade Review https://arxiv.org/abs/2412.20512 https://news.ycombinator.com/item?id=42609595 [bsky, 0 points, 0 comments]
- Time-Series Anomaly Detection: A Decade Review https://arxiv.org/abs/2412.20512 arxiv.org [bsky, 0 points, 0 comments]
- Dive into Time-Series Anomaly Detection: A Decade Review https://arxiv.org/abs/2412.20512 [comments] [13 points] [bsky, 0 points, 0 comments]
- https://bsky.app/profile/news.ycombinator.com.web.brid.gy/post/3lf4nulfoppu2 [bsky, 0 points, 0 comments]
- Dive into Time-Series Anomaly Detection: A Decade Review (arxiv.org) Main Link | Discussion [bsky, 0 points, 0 comments]
- Figures 5 and 8 are especially worth a quick look at. [bsky, 0 points, 0 comments]
- Dive into Time-Series Anomaly Detection: A Decade Review https://arxiv.org/abs/2412.20512 (https://news.ycombinator.com/item?id=42609595) [bsky, 0 points, 0 comments]
- Time-Series Anomaly Detection: A Decade Review https://arxiv.org/abs/2412.20512 (https://news.ycombinator.com/item?id=42609595) [bsky, 0 points, 0 comments]
- Dive into Time-Series Anomaly Detection: A Decade Review https://arxiv.org/abs/2412.20512 (https://news.ycombinator.com/item?id=42609595) [bsky, 0 points, 0 comments]
- Really excited to get to the end of my work day to go deep into this paper by @paulboniol.bsky.social et al. When I was building plastic self organising maps for anomaly detection (for radar) in 2000 [bsky, 0 points, 1 comments]
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