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Furthermore, we\nreview the adoption of these methods for anomaly across various application\ndomains and assess their effectiveness. We have grouped state-of-the-art\nresearch techniques into different categories based on the underlying\nassumptions and approach adopted. Within each category we outline the basic\nanomaly detection technique, along with its variants and present key\nassumptions, to differentiate between normal and anomalous behavior. For each\ncategory, we present we also present the advantages and limitations and discuss\nthe computational complexity of the techniques in real application domains.\nFinally, we outline open issues in research and challenges faced while adopting\nthese techniques.","url_abs":"http://arxiv.org/abs/1901.03407v2","url_pdf":"http://arxiv.org/pdf/1901.03407v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deep-learning-for-anomaly-detection-a-survey","repo_url":"https://github.com/fastforwardlabs/deepad","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"deep-learning-for-anomaly-detection-a-survey","repo_url":"https://github.com/victordibia/deepad","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"anomaly-detection","task_name":"Anomaly Detection"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"survey","task_name":"Survey"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1901.03407","atlas_url":"https://app.syntology.ai/?focus=1901.03407","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1901.03407"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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