Talk:Anomaly detection

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Requested move

It has been proposed in this section that Anomaly detection be renamed and moved to Outlier detection.

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Anomaly detection → Outlier detection — Relisted. Vegaswikian (talk) 02:31, 2 July 2010 (UTC) As per WP:COMMONNAME: it seems to me that "outlier" is much more common than "anomaly": [1] are the top articles in data mining. Anomaly detection is only used in the title of #656 and #989 of the top 1000. "outlier" is #87, #108, #119, #123 (this is Local Outlier Factor), #348, #353, #507, #620, #663, #772, #937, #948, #973, #974. I have the impression that "anomaly detection" is more used in the network intrusion context, while outlier detection is in data mining maybe? -- Chire (talk) 13:33, 16 June 2010 (UTC)[reply]

Anomaly detection is used slightly more often in the scholarly literature, but the articles using outlier detection seem more highly cited. I'd say it's a toss up between the two. Fences&Windows 19:32, 1 July 2010 (UTC)[reply]

Do you have some references using "anomaly detection" except the survey in the article? Template:ISBN-10 has a chapter 7.11 titled "Outlier Analysis", where all subpoints include "outlier detection" in their name. In Template:ISBN-10, chapter 7 is titled "outlier detection". Apart from my own experience (in the KDD community, not in network intrusion) it is more common. It also seems to be in industry: PMML seems to have an "outliers" XML attribute; "Oracle Data Mining Concepts" [2] mentions "outliers" but not "anomaly". Java Data Mining seems to use "outlier identification" [3]. The only hit in the WEKA wiki is for "outlier", too. --Chire (talk) 22:15, 6 July 2010 (UTC)[reply]