Anomaly detection refers to the problem of finding patterns in data that do not conform to expected behavior. This is also known as outlier detection.
Questions tagged [anomaly-detection]
477 questions
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Methods to detect published mistakes without raw data?
I'm interested in ways to detect mistakes in published papers without analyzing the raw data. For example the GRIM test [1]. Here's another similarish one from one of the GRIM authors' blog. I don't know of any others.
Looking for inconsistencies…
R Greg Stacey
- 2,302
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Recommendations for anomaly detection
I have a binary classifier. The classifier is trained on both numeric and categorical variables. In a given month, I will have new data coming in, comparable to 5% of the observation count of the training sample. It takes a long time to observe the…
JPErwin
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Summarizing the "anomalousness" of several columns
Suppose I have a data set containing many rows and one column like this:
## value
## 1 4.315975
## 2 4.416492
## 3 4.305562
## 4 4.339515
## 5 4.313470
## 6 4.412710
I can summarize how…
Paul Reiners
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Anomaly Detection when partitioning totals by groups
I am trying to find a statistical method to identify anomalies in votes. I have a dataset including all the vote for every party in every voting table in every polling station. These votes are counted manually and therefore, subject to many human…
user2246905
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No variation in responses - irrational behavior?
I have responses from individuals in the form of a Likert-type scale (range 1-7 where 1=strongly disagree and 7=strongly agree). There are 15 statements in 5 domains (3 statements per domain) relating to vaccine hesitancy, where importantly some…
Edward
- 206
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Anomaly detection - categorical data
I am quite a beginner in machine learning and now study anomaly detection, which is in the end just identification of outliers on Gaussian or other "chi squared", etc distributions.
What to do if for example you have three machine types where you…
Denis
- 13
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Define normal behavior having no historical data
I have credit card transactions data, and I'd like to detect anomalies whitin customers transactions.
When I have the customer historical data, I can use multiple algorithms in order to detect anomaly behavior. However, I'm facing troubles when I'm…
staove7
- 107