Anomaly Detection¶
Chandola, V., Banerjee, A., & Kumar, V. (2009). Anomaly Detection: A Survey. ACM, 41(3), 1-58.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Expectation Violation
- Practitioners tune these systems by moving the threshold rather than the model, which is the same lever the structure names.
This sourceDescribes scoring each instance against a model of normal behaviour and states that the analyst selects anomalies by applying a domain-specific cutoff threshold to that score.
- Practitioners tune these systems by moving the threshold rather than the model, which is the same lever the structure names.
- Monitoring
- This contextual interpretation is built into sophisticated monitoring systems (e.g., SLOs that account for seasonal demand, anomaly detectors trained on system-specific baselines), and Chandola, Banerjee, and Kumar (2009) survey how anomaly-detection algorithms across domains formalize this context-relative notion of "normal."
This sourceComprehensive cross-domain survey of anomaly-detection methods; formalizes how context (point, contextual, collective anomalies) determines what counts as deviation, supporting comparative reasoning in monitoring system design.
Supported in partVerified against the publisher's abstract
The abstract confirms a cross-domain survey whose per-category assumptions distinguish normal from anomalous behaviour, but it does not itself state a 'context-relative' notion of normal.
“For each category we have identified key assumptions, which are used by the techniques to differentiate between normal and anomalous behavior.”
- This contextual interpretation is built into sophisticated monitoring systems (e.g., SLOs that account for seasonal demand, anomaly detectors trained on system-specific baselines), and Chandola, Banerjee, and Kumar (2009) survey how anomaly-detection algorithms across domains formalize this context-relative notion of "normal."
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Read against the text for 1 of 2 citations: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:2639a8b0c0e2 · see in the full table